History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"monads"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1267 | 2025-11-20 20:14:19 | monads | 1 | 48755 | 6 | 0.796 | 61250.0 |
| 1266 | 2025-11-20 15:24:10 | monads | 1 | 48755 | 6 | 0.843 | 57835.1 |
| 1265 | 2025-11-19 08:06:51 | monads | 3 | 112716 | 852 | 6.300 | 17891.4 |
| 1264 | 2025-11-19 00:46:04 | monads | 1 | 48755 | 6 | 0.890 | 54780.9 |
| 1263 | 2025-11-18 10:46:00 | monads | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 1262 | 2025-11-18 06:13:44 | monads | 3 | 112716 | 852 | 11.063 | 10188.6 |
| 1261 | 2025-11-18 04:15:44 | monads | 3 | 112716 | 852 | 5.576 | 20214.5 |
| 1260 | 2025-11-18 00:36:34 | monads | 1 | 48755 | 6 | 0.846 | 57630.0 |
| 1259 | 2025-11-15 18:55:25 | monads | 1 | 48755 | 6 | 2.033 | 23981.8 |
| 1258 | 2025-11-13 05:29:10 | monads | 3 | 112716 | 852 | 7.843 | 14371.5 |
| 1257 | 2025-11-12 13:20:57 | monads | 1 | 48755 | 6 | 0.953 | 51159.5 |
| 1256 | 2025-11-11 09:33:14 | monads | 1 | 48755 | 6 | 0.796 | 61250.0 |
| 1255 | 2025-11-06 12:56:49 | monads | 1 | 48755 | 6 | 0.766 | 63648.8 |
| 1254 | 2025-11-05 15:24:24 | monads | 3 | 112716 | 852 | 9.690 | 11632.2 |
| 1253 | 2025-10-29 01:05:54 | monads | 1 | 48755 | 6 | 0.906 | 53813.5 |
| 1252 | 2025-10-26 02:11:58 | monads | 1 | 48755 | 6 | 0.893 | 54596.9 |
| 1251 | 2025-10-25 13:19:31 | monads | 1 | 48755 | 6 | 0.826 | 59025.4 |
| 1250 | 2025-10-18 01:57:45 | monads | 1 | 48755 | 6 | 0.873 | 55847.7 |
| 1249 | 2025-10-17 03:15:43 | monads | 1 | 48755 | 6 | 0.766 | 63648.8 |
| 1248 | 2025-10-15 20:07:41 | monads | 1 | 48755 | 6 | 0.923 | 52822.3 |
| 1247 | 2025-10-12 14:34:41 | monads | 1 | 48755 | 6 | 0.876 | 55656.4 |
| 1246 | 2025-10-11 09:57:48 | monads | 1 | 48755 | 6 | 0.750 | 65006.7 |
| 1245 | 2025-10-09 02:18:07 | monads | 1 | 48755 | 6 | 0.876 | 55656.4 |
| 1244 | 2025-10-03 06:10:09 | monads | 1 | 48755 | 6 | 0.890 | 54780.9 |
| 1243 | 2025-09-28 00:57:38 | monads | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 1242 | 2025-09-26 23:04:10 | monads | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 1241 | 2025-09-25 01:45:25 | monads | 1 | 48755 | 6 | 5.563 | 8764.2 |
| 1240 | 2025-09-24 13:31:36 | monads | 1 | 48755 | 6 | 0.843 | 57835.1 |
| 1239 | 2025-09-17 15:38:51 | monads | 1 | 48755 | 6 | 0.893 | 54596.9 |
| 1238 | 2025-09-15 01:59:17 | monads | 1 | 48755 | 6 | 0.830 | 58741.0 |
| 1237 | 2025-09-14 10:47:47 | monads | 1 | 48755 | 6 | 0.876 | 55656.4 |
| 1236 | 2025-09-13 06:24:46 | monads | 1 | 48755 | 6 | 0.856 | 56956.8 |
| 1235 | 2025-09-12 04:55:43 | monads | 1 | 48755 | 6 | 0.843 | 57835.1 |
| 1234 | 2025-09-12 04:54:25 | monads | 1 | 48755 | 6 | 0.890 | 54780.9 |
| 1233 | 2025-09-12 03:49:04 | monads | 2 | 82551 | 69 | 2.190 | 37694.5 |
| 1232 | 2025-09-11 18:53:41 | monads | 1 | 48755 | 6 | 0.876 | 55656.4 |
| 1231 | 2025-09-10 17:43:15 | monads | 1 | 48755 | 6 | 0.796 | 61250.0 |
| 1230 | 2025-09-08 22:50:18 | monads | 1 | 48755 | 6 | 0.766 | 63648.8 |
| 1229 | 2025-09-07 02:59:18 | monads | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 1228 | 2025-08-31 20:51:26 | monads | 3 | 112716 | 852 | 5.296 | 21283.2 |
| 1227 | 2025-08-28 00:56:17 | monads | 1 | 48755 | 6 | 0.860 | 56691.9 |
| 1226 | 2025-08-27 16:09:37 | monads | 3 | 112716 | 852 | 7.483 | 15062.9 |
| 1225 | 2025-08-27 11:04:15 | monads | 3 | 112716 | 852 | 12.876 | 8754.0 |
| 1224 | 2025-08-25 20:04:57 | monads | 3 | 112716 | 852 | 4.766 | 23650.0 |
| 1223 | 2025-08-25 02:24:08 | monads | 1 | 48755 | 6 | 6.780 | 7191.0 |
| 1222 | 2025-08-14 11:35:50 | monads | 2 | 82551 | 69 | 2.360 | 34979.2 |
| 1221 | 2025-08-09 08:07:16 | monads | 2 | 82551 | 69 | 7.033 | 11737.7 |
| 1220 | 2025-08-05 04:33:04 | monads | 1 | 48755 | 6 | 2.030 | 24017.2 |
| 1219 | 2025-08-01 16:57:52 | monads | 1 | 48755 | 6 | 1.733 | 28133.3 |
| 1218 | 2025-07-31 11:26:45 | monads | 1 | 48755 | 6 | 1.703 | 28628.9 |
| 1217 | 2025-07-30 22:56:30 | monads | 1 | 48755 | 6 | 0.876 | 55656.4 |
| 1216 | 2025-07-28 01:50:20 | monads | 2 | 82551 | 69 | 6.143 | 13438.2 |
| 1215 | 2025-07-28 00:09:07 | monads | 3 | 112716 | 852 | 33.030 | 3412.5 |
| 1214 | 2025-07-26 02:54:39 | monads | 3 | 112716 | 852 | 7.483 | 15062.9 |
| 1213 | 2025-07-25 10:59:57 | monads | 3 | 112716 | 852 | 20.936 | 5383.8 |
| 1212 | 2025-07-25 03:30:27 | monads | 1 | 48755 | 6 | 1.796 | 27146.4 |
| 1211 | 2025-07-22 18:17:38 | monads | 1 | 48755 | 6 | 2.156 | 22613.6 |
| 1210 | 2025-07-22 10:08:51 | monads | 1 | 48755 | 6 | 0.796 | 61250.0 |
| 1209 | 2025-07-20 20:00:57 | monads | 3 | 112716 | 852 | 4.860 | 23192.6 |
| 1208 | 2025-07-20 07:57:05 | monads | 1 | 48755 | 6 | 0.826 | 59025.4 |
| 1207 | 2025-07-18 05:02:05 | monads | 2 | 82551 | 69 | 5.826 | 14169.4 |
| 1206 | 2025-07-17 16:03:51 | monads | 1 | 48755 | 6 | 2.000 | 24377.5 |
| 1205 | 2025-07-16 23:14:08 | monads | 3 | 112716 | 852 | 12.030 | 9369.6 |
| 1204 | 2025-07-16 13:08:48 | monads | 2 | 82551 | 69 | 2.593 | 31836.1 |
| 1203 | 2025-07-13 12:24:50 | monads | 3 | 112716 | 852 | 12.796 | 8808.7 |
| 1202 | 2025-07-13 04:59:13 | monads | 1 | 48755 | 6 | 0.906 | 53813.5 |
| 1201 | 2025-07-11 14:53:29 | monads | 2 | 82551 | 69 | 6.393 | 12912.7 |
| 1200 | 2025-07-10 05:44:18 | monads | 2 | 82551 | 69 | 13.080 | 6311.2 |
| 1199 | 2025-07-09 15:02:01 | monads | 3 | 112716 | 852 | 4.860 | 23192.6 |
| 1198 | 2025-07-07 19:22:26 | monads | 2 | 82551 | 69 | 2.640 | 31269.3 |
| 1197 | 2025-07-05 07:13:17 | monads | 2 | 82551 | 69 | 12.000 | 6879.3 |
| 1196 | 2025-07-04 09:01:35 | monads | 2 | 82551 | 69 | 2.500 | 33020.4 |
| 1195 | 2025-06-30 11:20:29 | monads | 1 | 48755 | 6 | 5.250 | 9286.7 |
| 1194 | 2025-06-28 05:44:39 | monads | 1 | 48755 | 6 | 2.080 | 23439.9 |
| 1193 | 2025-06-23 15:38:41 | monads | 2 | 82551 | 69 | 15.083 | 5473.1 |
| 1192 | 2025-06-22 13:56:40 | monads | 1 | 48755 | 6 | 4.406 | 11065.6 |
| 1191 | 2025-06-22 02:54:12 | monads | 3 | 112716 | 852 | 22.016 | 5119.7 |
| 1190 | 2025-06-19 19:06:14 | monads | 3 | 112716 | 852 | 5.123 | 22002.0 |
| 1189 | 2025-06-17 03:05:23 | monads | 3 | 112716 | 852 | 25.360 | 4444.6 |
| 1188 | 2025-06-16 18:42:50 | monads | 2 | 82551 | 69 | 10.766 | 7667.8 |
| 1187 | 2025-06-16 18:29:11 | monads | 3 | 112716 | 852 | 17.203 | 6552.1 |
| 1186 | 2025-06-14 08:44:42 | monads | 3 | 112716 | 852 | 18.063 | 6240.2 |
| 1185 | 2025-06-11 02:27:36 | monads | 1 | 48755 | 6 | 4.360 | 11182.3 |
| 1184 | 2025-06-06 15:38:07 | monads | 1 | 48755 | 6 | 4.250 | 11471.8 |
| 1183 | 2025-06-06 01:13:33 | monads | 1 | 48755 | 6 | 6.313 | 7723.0 |
| 1182 | 2025-05-30 09:58:06 | monads | 1 | 48755 | 6 | 2.000 | 24377.5 |
| 1181 | 2025-05-29 02:19:40 | monads | 1 | 48755 | 6 | 2.296 | 21234.8 |
| 1180 | 2025-05-27 08:57:08 | monads | 1 | 48755 | 6 | 6.406 | 7610.8 |
| 1179 | 2025-05-27 06:54:23 | monads | 1 | 48755 | 6 | 3.516 | 13866.6 |
| 1178 | 2025-05-27 02:20:11 | monads | 1 | 48755 | 6 | 4.250 | 11471.8 |
| 1177 | 2025-05-23 03:37:12 | monads | 2 | 82551 | 69 | 6.793 | 12152.4 |
| 1176 | 2025-05-22 14:11:41 | monads | 1 | 48755 | 6 | 5.110 | 9541.1 |
| 1175 | 2025-05-21 03:14:21 | monads | 3 | 112716 | 852 | 6.126 | 18399.6 |
| 1174 | 2025-05-20 18:15:32 | monads | 1 | 48755 | 6 | 4.000 | 12188.8 |
| 1173 | 2025-05-20 02:21:01 | monads | 1 | 48755 | 6 | 4.703 | 10366.8 |
| 1172 | 2025-05-18 04:25:53 | monads | 3 | 112716 | 852 | 26.336 | 4279.9 |
| 1171 | 2025-05-17 02:04:46 | monads | 1 | 48755 | 6 | 2.703 | 18037.4 |
| 1170 | 2025-05-13 07:07:26 | monads | 1 | 48755 | 6 | 1.783 | 27344.4 |
| 1169 | 2025-05-11 04:32:39 | monads | 1 | 48755 | 6 | 6.330 | 7702.2 |
| 1168 | 2025-05-10 10:35:53 | monads | 1 | 48755 | 6 | 2.330 | 20924.9 |