History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"raws"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1322 | 2025-10-25 08:13:40 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1321 | 2025-10-25 00:09:57 | raws | 1 | 13983 | 26 | 0.266 | 52567.7 |
| 1320 | 2025-10-21 17:18:32 | raws | 2 | 29872 | 508 | 3.606 | 8284.0 |
| 1319 | 2025-10-21 01:10:16 | raws | 1 | 13983 | 26 | 0.236 | 59250.0 |
| 1318 | 2025-10-17 22:30:53 | raws | 2 | 29872 | 508 | 0.843 | 35435.3 |
| 1317 | 2025-10-17 16:47:46 | raws | 1 | 13983 | 26 | 0.233 | 60012.9 |
| 1316 | 2025-10-17 00:59:03 | raws | 1 | 13983 | 26 | 0.236 | 59250.0 |
| 1315 | 2025-10-15 18:38:11 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1314 | 2025-10-13 12:29:17 | raws | 2 | 29872 | 508 | 0.876 | 34100.5 |
| 1313 | 2025-10-13 08:57:35 | raws | 2 | 29872 | 508 | 0.953 | 31345.2 |
| 1312 | 2025-10-11 15:53:03 | raws | 1 | 13983 | 26 | 0.266 | 52567.7 |
| 1311 | 2025-10-11 15:16:36 | raws | 2 | 29872 | 508 | 1.000 | 29872.0 |
| 1310 | 2025-10-11 02:29:01 | raws | 2 | 29872 | 508 | 2.093 | 14272.3 |
| 1309 | 2025-10-10 21:55:00 | raws | 1 | 13983 | 26 | 0.280 | 49939.3 |
| 1308 | 2025-10-10 09:07:20 | raws | 1 | 13983 | 26 | 0.263 | 53167.3 |
| 1307 | 2025-10-08 16:02:06 | raws | 2 | 29872 | 508 | 0.796 | 37527.6 |
| 1306 | 2025-10-07 17:47:11 | raws | 2 | 29872 | 508 | 0.873 | 34217.6 |
| 1305 | 2025-10-07 01:28:41 | raws | 2 | 29872 | 508 | 0.923 | 32364.0 |
| 1304 | 2025-10-07 00:04:29 | raws | 2 | 29872 | 508 | 0.813 | 36742.9 |
| 1303 | 2025-10-06 17:27:53 | raws | 1 | 13983 | 26 | 0.263 | 53167.3 |
| 1302 | 2025-10-06 07:25:22 | raws | 2 | 29872 | 508 | 0.953 | 31345.2 |
| 1301 | 2025-10-05 19:12:03 | raws | 1 | 13983 | 26 | 0.280 | 49939.3 |
| 1300 | 2025-10-05 15:55:42 | raws | 2 | 29872 | 508 | 0.876 | 34100.5 |
| 1299 | 2025-10-04 04:36:57 | raws | 2 | 29872 | 508 | 0.860 | 34734.9 |
| 1298 | 2025-10-03 21:58:14 | raws | 2 | 29872 | 508 | 1.000 | 29872.0 |
| 1297 | 2025-10-03 13:02:12 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1296 | 2025-10-03 05:38:57 | raws | 1 | 13983 | 26 | 0.236 | 59250.0 |
| 1295 | 2025-10-02 10:39:07 | raws | 1 | 13983 | 26 | 0.236 | 59250.0 |
| 1294 | 2025-09-28 21:06:51 | raws | 2 | 29872 | 508 | 0.890 | 33564.0 |
| 1293 | 2025-09-28 11:05:40 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1292 | 2025-09-26 05:30:01 | raws | 1 | 13983 | 26 | 0.470 | 29751.1 |
| 1291 | 2025-09-25 16:43:33 | raws | 1 | 13983 | 26 | 0.233 | 60012.9 |
| 1290 | 2025-09-25 02:37:48 | raws | 2 | 29872 | 508 | 4.843 | 6168.1 |
| 1289 | 2025-09-25 02:37:43 | raws | 2 | 29872 | 508 | 3.720 | 8030.1 |
| 1288 | 2025-09-25 02:37:39 | raws | 2 | 29872 | 508 | 2.500 | 11948.8 |
| 1287 | 2025-09-25 02:37:33 | raws | 2 | 29872 | 508 | 3.703 | 8067.0 |
| 1286 | 2025-09-25 01:49:44 | raws | 1 | 13983 | 26 | 0.266 | 52567.7 |
| 1285 | 2025-09-24 08:17:15 | raws | 1 | 13983 | 26 | 0.233 | 60012.9 |
| 1284 | 2025-09-23 00:10:40 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1283 | 2025-09-21 19:35:22 | raws | 1 | 13983 | 26 | 0.263 | 53167.3 |
| 1282 | 2025-09-18 01:55:43 | raws | 1 | 13983 | 26 | 0.233 | 60012.9 |
| 1281 | 2025-09-16 22:11:14 | raws | 2 | 29872 | 508 | 0.936 | 31914.5 |
| 1280 | 2025-09-16 16:40:11 | raws | 1 | 13983 | 26 | 0.296 | 47239.9 |
| 1279 | 2025-09-14 18:13:58 | raws | 1 | 13983 | 26 | 0.266 | 52567.7 |
| 1278 | 2025-09-13 19:20:49 | raws | 1 | 13983 | 26 | 0.266 | 52567.7 |
| 1277 | 2025-09-12 12:10:41 | raws | 2 | 29872 | 508 | 1.906 | 15672.6 |
| 1276 | 2025-09-12 08:53:35 | raws | 2 | 29872 | 508 | 1.030 | 29001.9 |
| 1275 | 2025-09-12 04:51:15 | raws | 2 | 29872 | 508 | 0.893 | 33451.3 |
| 1274 | 2025-09-12 04:51:14 | raws | 2 | 29872 | 508 | 0.910 | 32826.4 |
| 1273 | 2025-09-11 10:36:14 | raws | 1 | 13983 | 26 | 0.233 | 60012.9 |
| 1272 | 2025-09-11 01:39:25 | raws | 2 | 29872 | 508 | 0.936 | 31914.5 |
| 1271 | 2025-09-10 17:30:02 | raws | 2 | 29872 | 508 | 0.860 | 34734.9 |
| 1270 | 2025-09-10 06:11:56 | raws | 1 | 13983 | 26 | 0.236 | 59250.0 |
| 1269 | 2025-09-09 21:47:04 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1268 | 2025-09-08 04:02:32 | raws | 2 | 29872 | 508 | 0.783 | 38150.7 |
| 1267 | 2025-09-08 03:06:49 | raws | 1 | 13983 | 26 | 0.233 | 60012.9 |
| 1266 | 2025-09-06 13:08:01 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1265 | 2025-09-05 21:45:11 | raws | 1 | 13983 | 26 | 0.233 | 60012.9 |
| 1264 | 2025-09-04 20:11:20 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1263 | 2025-09-04 11:23:15 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1262 | 2025-09-02 04:47:54 | raws | 1 | 13983 | 26 | 0.216 | 64736.1 |
| 1261 | 2025-09-01 23:31:09 | raws | 1 | 13983 | 26 | 0.220 | 63559.1 |
| 1260 | 2025-09-01 13:01:26 | raws | 1 | 13983 | 26 | 0.236 | 59250.0 |
| 1259 | 2025-09-01 10:46:52 | raws | 1 | 13983 | 26 | 0.266 | 52567.7 |
| 1258 | 2025-09-01 06:20:44 | raws | 1 | 13983 | 26 | 0.233 | 60012.9 |
| 1257 | 2025-09-01 06:03:20 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1256 | 2025-08-29 22:50:21 | raws | 1 | 13983 | 26 | 0.233 | 60012.9 |
| 1255 | 2025-08-29 17:48:03 | raws | 2 | 29872 | 508 | 0.890 | 33564.0 |
| 1254 | 2025-08-29 05:06:40 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1253 | 2025-08-29 01:52:41 | raws | 2 | 29872 | 508 | 0.920 | 32469.6 |
| 1252 | 2025-08-27 20:57:50 | raws | 2 | 29872 | 508 | 1.030 | 29001.9 |
| 1251 | 2025-08-27 10:51:58 | raws | 1 | 13983 | 26 | 0.500 | 27966.0 |
| 1250 | 2025-08-25 22:25:45 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1249 | 2025-08-24 08:10:43 | raws | 1 | 13983 | 26 | 0.983 | 14224.8 |
| 1248 | 2025-08-24 06:47:36 | raws | 1 | 13983 | 26 | 1.656 | 8443.8 |
| 1247 | 2025-08-23 00:40:45 | raws | 1 | 13983 | 26 | 1.670 | 8373.1 |
| 1246 | 2025-08-22 13:59:18 | raws | 1 | 13983 | 26 | 0.263 | 53167.3 |
| 1245 | 2025-08-19 11:18:14 | raws | 1 | 13983 | 26 | 0.720 | 19420.8 |
| 1244 | 2025-08-15 20:34:45 | raws | 1 | 13983 | 26 | 0.266 | 52567.7 |
| 1243 | 2025-08-11 12:24:19 | raws | 1 | 13983 | 26 | 1.296 | 10789.4 |
| 1242 | 2025-08-08 22:27:40 | raws | 1 | 13983 | 26 | 1.126 | 12418.3 |
| 1241 | 2025-08-06 03:00:06 | raws | 1 | 13983 | 26 | 0.283 | 49409.9 |
| 1240 | 2025-08-02 07:35:15 | raws | 2 | 29872 | 508 | 4.516 | 6614.7 |
| 1239 | 2025-08-01 12:56:25 | raws | 1 | 13983 | 26 | 0.296 | 47239.9 |
| 1238 | 2025-07-31 15:31:54 | raws | 1 | 13983 | 26 | 0.893 | 15658.5 |
| 1237 | 2025-07-28 12:44:14 | raws | 1 | 13983 | 26 | 0.843 | 16587.2 |
| 1236 | 2025-07-27 12:36:26 | raws | 1 | 13983 | 26 | 0.686 | 20383.4 |
| 1235 | 2025-07-24 19:30:32 | raws | 1 | 13983 | 26 | 0.826 | 16928.6 |
| 1234 | 2025-07-22 15:52:34 | raws | 1 | 13983 | 26 | 1.656 | 8443.8 |
| 1233 | 2025-07-21 11:48:06 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1232 | 2025-07-20 01:05:51 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1231 | 2025-07-19 01:35:10 | raws | 1 | 13983 | 26 | 0.266 | 52567.7 |
| 1230 | 2025-07-17 20:50:18 | raws | 1 | 13983 | 26 | 1.766 | 7917.9 |
| 1229 | 2025-07-16 17:24:43 | raws | 1 | 13983 | 26 | 0.280 | 49939.3 |
| 1228 | 2025-07-15 04:01:53 | raws | 1 | 13983 | 26 | 0.940 | 14875.5 |
| 1227 | 2025-07-13 09:32:00 | raws | 1 | 13983 | 26 | 1.126 | 12418.3 |
| 1226 | 2025-07-11 15:02:00 | raws | 2 | 29872 | 508 | 2.346 | 12733.2 |
| 1225 | 2025-07-09 02:12:11 | raws | 1 | 13983 | 26 | 0.263 | 53167.3 |
| 1224 | 2025-07-08 21:56:11 | raws | 1 | 13983 | 26 | 0.250 | 55932.0 |
| 1223 | 2025-07-07 08:08:46 | raws | 1 | 13983 | 26 | 1.626 | 8599.6 |