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 |
| 1283 | 2026-02-09 05:24:45 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
| 1282 | 2026-02-09 05:24:44 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1281 | 2026-02-09 05:19:21 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1280 | 2026-02-08 21:54:32 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1279 | 2026-02-07 22:21:16 | cowed | 1 | 28756 | 31 | 2.610 | 11017.6 |
| 1278 | 2026-02-07 22:21:04 | cowed | 1 | 28756 | 31 | 1.266 | 22714.1 |
| 1277 | 2026-02-07 07:05:31 | cowed | 1 | 28756 | 31 | 1.050 | 27386.7 |
| 1276 | 2026-02-07 07:05:29 | cowed | 1 | 28756 | 31 | 1.030 | 27918.4 |
| 1275 | 2026-02-06 06:51:02 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
| 1274 | 2026-02-06 06:20:39 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1273 | 2026-02-06 04:52:35 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1272 | 2026-02-06 04:36:28 | cowed | 1 | 28756 | 31 | 0.563 | 51076.4 |
| 1271 | 2026-02-05 16:06:23 | cowed | 1 | 28756 | 31 | 1.080 | 26625.9 |
| 1270 | 2026-02-05 14:26:12 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1269 | 2026-02-05 08:30:16 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1268 | 2026-02-05 02:21:57 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1267 | 2026-02-04 23:46:16 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1266 | 2026-02-04 22:50:19 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1265 | 2026-02-04 20:36:03 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1264 | 2026-02-04 16:07:57 | cowed | 1 | 28756 | 31 | 2.313 | 12432.3 |
| 1263 | 2026-02-04 16:07:55 | cowed | 1 | 28756 | 31 | 1.186 | 24246.2 |
| 1262 | 2026-02-03 22:23:51 | cowed | 1 | 28756 | 31 | 1.046 | 27491.4 |
| 1261 | 2026-02-03 22:10:44 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1260 | 2026-02-03 19:37:27 | cowed | 1 | 28756 | 31 | 0.796 | 36125.6 |
| 1259 | 2026-02-03 11:12:49 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1258 | 2026-02-03 09:07:50 | cowed | 1 | 28756 | 31 | 0.513 | 56054.6 |
| 1257 | 2026-02-03 08:24:49 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
| 1256 | 2026-02-03 06:11:19 | cowed | 1 | 28756 | 31 | 2.720 | 10572.1 |
| 1255 | 2026-02-03 05:46:19 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1254 | 2026-02-02 22:52:47 | cowed | 1 | 28756 | 31 | 0.610 | 47141.0 |
| 1253 | 2026-02-02 21:00:30 | cowed | 1 | 28756 | 31 | 0.560 | 51350.0 |
| 1252 | 2026-02-02 18:01:05 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1251 | 2026-02-02 08:53:42 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1250 | 2026-02-01 21:26:50 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1249 | 2026-02-01 01:07:16 | cowed | 1 | 28756 | 31 | 0.606 | 47452.1 |
| 1248 | 2026-01-31 10:07:27 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1247 | 2026-01-31 09:39:27 | cowed | 1 | 28756 | 31 | 0.563 | 51076.4 |
| 1246 | 2026-01-30 06:01:08 | cowed | 1 | 28756 | 31 | 0.513 | 56054.6 |
| 1245 | 2026-01-30 05:59:10 | cowed | 1 | 28756 | 31 | 1.346 | 21364.0 |
| 1244 | 2026-01-30 05:58:55 | cowed | 1 | 28756 | 31 | 2.060 | 13959.2 |
| 1243 | 2026-01-30 02:07:14 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1242 | 2026-01-30 01:27:07 | cowed | 1 | 28756 | 31 | 2.046 | 14054.7 |
| 1241 | 2026-01-29 22:52:58 | cowed | 1 | 28756 | 31 | 0.563 | 51076.4 |
| 1240 | 2026-01-29 22:52:51 | cowed | 1 | 28756 | 31 | 1.156 | 24875.4 |
| 1239 | 2026-01-29 09:58:14 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1238 | 2026-01-29 09:43:36 | cowed | 1 | 28756 | 31 | 0.533 | 53951.2 |
| 1237 | 2026-01-29 07:56:00 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
| 1236 | 2026-01-29 06:53:08 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1235 | 2026-01-29 03:55:26 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1234 | 2026-01-29 03:55:22 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1233 | 2026-01-28 20:01:20 | cowed | 1 | 28756 | 31 | 0.533 | 53951.2 |
| 1232 | 2026-01-28 09:21:36 | cowed | 1 | 28756 | 31 | 0.800 | 35945.0 |
| 1231 | 2026-01-27 20:47:52 | cowed | 1 | 28756 | 31 | 0.953 | 30174.2 |
| 1230 | 2026-01-27 19:48:57 | cowed | 1 | 28756 | 31 | 1.750 | 16432.0 |
| 1229 | 2026-01-27 19:19:15 | cowed | 1 | 28756 | 31 | 1.000 | 28756.0 |
| 1228 | 2026-01-27 18:47:09 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1227 | 2026-01-27 17:12:21 | cowed | 1 | 28756 | 31 | 0.936 | 30722.2 |
| 1226 | 2026-01-27 12:48:35 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1225 | 2026-01-27 10:07:35 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1224 | 2026-01-23 03:58:05 | cowed | 1 | 28756 | 31 | 0.466 | 61708.2 |
| 1223 | 2026-01-17 05:18:57 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1222 | 2026-01-16 23:16:08 | cowed | 1 | 28756 | 31 | 0.513 | 56054.6 |
| 1221 | 2026-01-14 07:41:29 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1220 | 2026-01-11 05:27:03 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1219 | 2026-01-10 03:24:42 | cowed | 1 | 28756 | 31 | 1.063 | 27051.7 |
| 1218 | 2026-01-05 18:21:58 | cowed | 1 | 28756 | 31 | 0.483 | 59536.2 |
| 1217 | 2026-01-04 18:58:27 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1216 | 2026-01-03 04:24:35 | cowed | 1 | 28756 | 31 | 1.483 | 19390.4 |
| 1215 | 2026-01-03 01:25:49 | cowed | 1 | 28756 | 31 | 0.486 | 59168.7 |
| 1214 | 2026-01-02 04:46:37 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1213 | 2025-12-30 17:40:19 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1212 | 2025-12-30 15:30:07 | cowed | 1 | 28756 | 31 | 0.576 | 49923.6 |
| 1211 | 2025-12-27 11:47:38 | cowed | 1 | 28756 | 31 | 0.533 | 53951.2 |
| 1210 | 2025-12-27 06:04:45 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 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 |