History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"mean"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1394 | 2025-11-17 12:01:05 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1393 | 2025-11-17 05:04:07 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1392 | 2025-11-17 01:24:25 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1391 | 2025-11-14 21:31:53 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1390 | 2025-11-14 12:58:21 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1389 | 2025-11-14 05:24:59 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 1388 | 2025-11-14 03:05:09 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1387 | 2025-11-13 18:39:46 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1386 | 2025-11-13 18:37:06 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1385 | 2025-11-13 15:19:22 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1384 | 2025-11-12 07:39:29 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1383 | 2025-11-10 22:00:30 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1382 | 2025-11-10 19:09:38 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1381 | 2025-11-05 07:54:30 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1380 | 2025-11-04 12:47:27 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1379 | 2025-11-02 22:54:36 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1378 | 2025-11-01 21:23:23 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1377 | 2025-10-31 19:01:18 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1376 | 2025-10-30 02:51:40 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1375 | 2025-10-29 15:25:55 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1374 | 2025-10-28 09:40:49 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1373 | 2025-10-24 19:49:30 | mean | 1 | 13983 | 17 | 0.530 | 26383.0 |
| 1372 | 2025-10-24 18:38:29 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1371 | 2025-10-23 17:45:14 | mean | 1 | 13983 | 17 | 0.280 | 49939.3 |
| 1370 | 2025-10-23 15:36:44 | mean | 1 | 13983 | 17 | 0.326 | 42892.6 |
| 1369 | 2025-10-22 10:07:26 | mean | 1 | 13983 | 17 | 1.326 | 10545.2 |
| 1368 | 2025-10-20 11:30:51 | mean | 1 | 13983 | 17 | 1.173 | 11920.7 |
| 1367 | 2025-10-19 13:58:44 | mean | 2 | 29872 | 289 | 3.236 | 9231.1 |
| 1366 | 2025-10-19 12:53:56 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1365 | 2025-10-13 15:39:43 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1364 | 2025-10-13 13:08:17 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1363 | 2025-10-08 20:41:38 | mean | 2 | 29872 | 289 | 1.906 | 15672.6 |
| 1362 | 2025-10-02 02:46:29 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1361 | 2025-09-25 14:12:55 | mean | 1 | 13983 | 17 | 1.076 | 12995.4 |
| 1360 | 2025-09-23 09:46:39 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
| 1359 | 2025-09-22 17:32:24 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 1358 | 2025-09-20 01:29:39 | mean | 2 | 29872 | 289 | 0.873 | 34217.6 |
| 1357 | 2025-09-19 22:23:54 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1356 | 2025-09-19 19:02:33 | mean | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1355 | 2025-09-17 19:01:04 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1354 | 2025-09-15 21:13:49 | mean | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1353 | 2025-09-15 08:06:44 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1352 | 2025-09-10 15:11:25 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1351 | 2025-09-08 17:19:39 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1350 | 2025-09-08 17:03:48 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1349 | 2025-09-06 11:47:35 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1348 | 2025-09-04 07:49:33 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 1347 | 2025-09-03 09:16:06 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1346 | 2025-09-03 06:51:54 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 1345 | 2025-09-02 05:50:23 | mean | 1 | 13983 | 17 | 0.280 | 49939.3 |
| 1344 | 2025-08-31 07:34:58 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1343 | 2025-08-29 06:33:52 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1342 | 2025-08-27 18:33:14 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1341 | 2025-08-27 15:01:04 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1340 | 2025-08-27 01:59:28 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1339 | 2025-08-25 21:57:47 | mean | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1338 | 2025-08-25 21:15:29 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1337 | 2025-08-25 01:54:12 | mean | 1 | 13983 | 17 | 1.266 | 11045.0 |
| 1336 | 2025-08-11 07:57:23 | mean | 1 | 13983 | 17 | 0.593 | 23580.1 |
| 1335 | 2025-08-09 18:53:37 | mean | 1 | 13983 | 17 | 0.936 | 14939.1 |
| 1334 | 2025-08-03 20:27:53 | mean | 1 | 13983 | 17 | 0.283 | 49409.9 |
| 1333 | 2025-08-02 01:35:46 | mean | 1 | 13983 | 17 | 0.703 | 19890.5 |
| 1332 | 2025-08-01 15:00:46 | mean | 2 | 29872 | 289 | 1.970 | 15163.5 |
| 1331 | 2025-07-31 11:57:10 | mean | 1 | 13983 | 17 | 0.936 | 14939.1 |
| 1330 | 2025-07-27 01:48:45 | mean | 1 | 13983 | 17 | 0.826 | 16928.6 |
| 1329 | 2025-07-26 08:15:22 | mean | 1 | 13983 | 17 | 0.970 | 14415.5 |
| 1328 | 2025-07-24 04:51:23 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1327 | 2025-07-24 03:11:55 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1326 | 2025-07-23 04:20:12 | mean | 1 | 13983 | 17 | 1.153 | 12127.5 |
| 1325 | 2025-07-22 15:18:11 | mean | 1 | 13983 | 17 | 1.203 | 11623.4 |
| 1324 | 2025-07-21 21:28:40 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
| 1323 | 2025-07-19 21:33:12 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1322 | 2025-07-17 04:04:08 | mean | 1 | 13983 | 17 | 0.923 | 15149.5 |
| 1321 | 2025-07-15 02:09:20 | mean | 2 | 29872 | 289 | 1.843 | 16208.4 |
| 1320 | 2025-07-09 09:42:27 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1319 | 2025-07-07 18:02:26 | mean | 1 | 13983 | 17 | 0.686 | 20383.4 |
| 1318 | 2025-07-02 20:44:49 | mean | 1 | 13983 | 17 | 0.580 | 24108.6 |
| 1317 | 2025-07-02 11:09:08 | mean | 2 | 29872 | 289 | 2.110 | 14157.3 |
| 1316 | 2025-06-30 13:46:33 | mean | 2 | 29872 | 289 | 4.326 | 6905.2 |
| 1315 | 2025-06-29 11:38:52 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
| 1314 | 2025-06-24 07:25:04 | mean | 1 | 13983 | 17 | 1.843 | 7587.1 |
| 1313 | 2025-06-22 04:11:42 | mean | 1 | 13983 | 17 | 1.046 | 13368.1 |
| 1312 | 2025-06-20 03:25:08 | mean | 1 | 13983 | 17 | 1.593 | 8777.8 |
| 1311 | 2025-06-16 03:05:33 | mean | 1 | 13983 | 17 | 0.953 | 14672.6 |
| 1310 | 2025-06-16 00:04:50 | mean | 1 | 13983 | 17 | 0.970 | 14415.5 |
| 1309 | 2025-06-15 06:06:46 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1308 | 2025-06-12 18:51:20 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
| 1307 | 2025-06-09 05:58:43 | mean | 2 | 29872 | 289 | 0.750 | 39829.3 |
| 1306 | 2025-06-07 17:13:50 | mean | 1 | 13983 | 17 | 0.796 | 17566.6 |
| 1305 | 2025-06-05 03:45:17 | mean | 2 | 29872 | 289 | 4.623 | 6461.6 |
| 1304 | 2025-06-02 19:30:54 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
| 1303 | 2025-05-30 13:00:40 | mean | 1 | 13983 | 17 | 1.656 | 8443.8 |
| 1302 | 2025-05-30 09:11:58 | mean | 1 | 13983 | 17 | 1.906 | 7336.3 |
| 1301 | 2025-05-29 11:21:06 | mean | 1 | 13983 | 17 | 0.283 | 49409.9 |
| 1300 | 2025-05-28 21:46:36 | mean | 1 | 13983 | 17 | 0.936 | 14939.1 |
| 1299 | 2025-05-28 13:42:42 | mean | 1 | 13983 | 17 | 0.263 | 53167.3 |
| 1298 | 2025-05-28 08:43:03 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 |
| 1297 | 2025-05-23 02:47:10 | mean | 1 | 13983 | 17 | 0.950 | 14718.9 |
| 1296 | 2025-05-20 03:51:02 | mean | 1 | 13983 | 17 | 0.656 | 21315.5 |
| 1295 | 2025-05-19 17:47:46 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |