History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"shes"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1460 | 2025-10-27 16:57:59 | shes | 1 | 13983 | 14 | 0.296 | 47239.9 |
| 1459 | 2025-10-25 20:49:49 | shes | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 1458 | 2025-10-13 04:32:55 | shes | 1 | 13983 | 14 | 0.220 | 63559.1 |
| 1457 | 2025-09-26 18:10:16 | shes | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1456 | 2025-09-25 10:52:59 | shes | 1 | 13983 | 14 | 0.640 | 21848.4 |
| 1455 | 2025-09-23 16:46:58 | shes | 1 | 13983 | 14 | 0.220 | 63559.1 |
| 1454 | 2025-09-18 13:32:24 | shes | 2 | 29872 | 482 | 0.983 | 30388.6 |
| 1453 | 2025-09-13 03:53:28 | shes | 2 | 29872 | 482 | 0.890 | 33564.0 |
| 1452 | 2025-09-10 09:25:05 | shes | 1 | 13983 | 14 | 0.263 | 53167.3 |
| 1451 | 2025-09-06 23:39:13 | shes | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1450 | 2025-09-06 08:51:53 | shes | 1 | 13983 | 14 | 0.216 | 64736.1 |
| 1449 | 2025-09-06 04:50:03 | shes | 1 | 13983 | 14 | 0.220 | 63559.1 |
| 1448 | 2025-09-03 07:27:42 | shes | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1447 | 2025-08-17 09:02:51 | shes | 1 | 13983 | 14 | 1.013 | 13803.6 |
| 1446 | 2025-08-10 03:55:01 | shes | 2 | 29872 | 482 | 2.280 | 13101.8 |
| 1445 | 2025-08-09 15:23:28 | shes | 1 | 13983 | 14 | 1.046 | 13368.1 |
| 1444 | 2025-08-04 18:11:20 | shes | 2 | 29872 | 482 | 2.360 | 12657.6 |
| 1443 | 2025-08-03 07:03:29 | shes | 2 | 29872 | 482 | 4.046 | 7383.1 |
| 1442 | 2025-08-01 18:55:47 | shes | 2 | 29872 | 482 | 2.013 | 14839.5 |
| 1441 | 2025-08-01 05:41:17 | shes | 1 | 13983 | 14 | 0.546 | 25609.9 |
| 1440 | 2025-07-31 12:20:53 | shes | 1 | 13983 | 14 | 0.263 | 53167.3 |
| 1439 | 2025-07-31 02:54:39 | shes | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 1438 | 2025-07-28 00:47:43 | shes | 1 | 13983 | 14 | 0.280 | 49939.3 |
| 1437 | 2025-07-27 04:48:26 | shes | 1 | 13983 | 14 | 1.030 | 13575.7 |
| 1436 | 2025-07-25 01:46:01 | shes | 1 | 13983 | 14 | 1.233 | 11340.6 |
| 1435 | 2025-07-24 08:03:27 | shes | 1 | 13983 | 14 | 1.826 | 7657.7 |
| 1434 | 2025-07-23 15:46:57 | shes | 1 | 13983 | 14 | 0.263 | 53167.3 |
| 1433 | 2025-07-22 18:10:43 | shes | 1 | 13983 | 14 | 2.110 | 6627.0 |
| 1432 | 2025-07-18 22:45:21 | shes | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 1431 | 2025-07-17 09:26:53 | shes | 1 | 13983 | 14 | 0.890 | 15711.2 |
| 1430 | 2025-07-08 14:34:53 | shes | 1 | 13983 | 14 | 0.686 | 20383.4 |
| 1429 | 2025-07-08 09:28:02 | shes | 1 | 13983 | 14 | 0.686 | 20383.4 |
| 1428 | 2025-06-29 20:35:23 | shes | 1 | 13983 | 14 | 1.220 | 11461.5 |
| 1427 | 2025-06-29 11:31:43 | shes | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1426 | 2025-06-28 12:32:26 | shes | 1 | 13983 | 14 | 0.953 | 14672.6 |
| 1425 | 2025-06-22 04:55:13 | shes | 1 | 13983 | 14 | 0.686 | 20383.4 |
| 1424 | 2025-06-20 01:46:02 | shes | 2 | 29872 | 482 | 2.890 | 10336.3 |
| 1423 | 2025-06-19 04:34:26 | shes | 2 | 29872 | 482 | 0.920 | 32469.6 |
| 1422 | 2025-06-18 10:21:35 | shes | 1 | 13983 | 14 | 1.420 | 9847.2 |
| 1421 | 2025-06-17 15:48:44 | shes | 2 | 29872 | 482 | 0.906 | 32971.3 |
| 1420 | 2025-06-17 06:14:39 | shes | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 1419 | 2025-06-16 09:24:24 | shes | 1 | 13983 | 14 | 0.640 | 21848.4 |
| 1418 | 2025-06-13 09:23:37 | shes | 1 | 13983 | 14 | 0.220 | 63559.1 |
| 1417 | 2025-06-10 16:00:20 | shes | 1 | 13983 | 14 | 1.233 | 11340.6 |
| 1416 | 2025-06-09 21:32:30 | shes | 1 | 13983 | 14 | 1.390 | 10059.7 |
| 1415 | 2025-06-08 14:27:20 | shes | 1 | 13983 | 14 | 0.686 | 20383.4 |
| 1414 | 2025-06-06 21:07:31 | shes | 1 | 13983 | 14 | 1.376 | 10162.1 |
| 1413 | 2025-06-06 16:06:35 | shes | 2 | 29872 | 482 | 6.470 | 4617.0 |
| 1412 | 2025-06-06 07:28:24 | shes | 2 | 29872 | 482 | 2.236 | 13359.6 |
| 1411 | 2025-06-05 09:10:19 | shes | 2 | 29872 | 482 | 2.266 | 13182.7 |
| 1410 | 2025-06-02 08:46:17 | shes | 2 | 29872 | 482 | 2.250 | 13276.4 |
| 1409 | 2025-06-02 02:18:12 | shes | 1 | 13983 | 14 | 0.580 | 24108.6 |
| 1408 | 2025-06-01 08:37:13 | shes | 1 | 13983 | 14 | 1.596 | 8761.3 |
| 1407 | 2025-05-31 14:33:14 | shes | 2 | 29872 | 482 | 2.360 | 12657.6 |
| 1406 | 2025-05-31 04:36:48 | shes | 1 | 13983 | 14 | 0.283 | 49409.9 |
| 1405 | 2025-05-31 01:03:31 | shes | 1 | 13983 | 14 | 0.950 | 14718.9 |
| 1404 | 2025-05-29 12:09:40 | shes | 1 | 13983 | 14 | 0.453 | 30867.5 |
| 1403 | 2025-05-28 11:39:21 | shes | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 1402 | 2025-05-27 04:43:45 | shes | 1 | 13983 | 14 | 0.953 | 14672.6 |
| 1401 | 2025-05-25 06:28:04 | shes | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1400 | 2025-05-16 09:03:03 | shes | 1 | 13983 | 14 | 0.516 | 27098.8 |
| 1399 | 2025-05-15 18:22:04 | shes | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1398 | 2025-05-10 13:12:49 | shes | 1 | 13983 | 14 | 1.580 | 8850.0 |
| 1397 | 2025-05-10 10:11:53 | shes | 1 | 13983 | 14 | 0.970 | 14415.5 |
| 1396 | 2025-05-09 10:47:35 | shes | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1395 | 2025-05-03 22:41:14 | shes | 1 | 13983 | 14 | 1.373 | 10184.3 |
| 1394 | 2025-04-30 00:49:58 | shes | 1 | 13983 | 14 | 1.563 | 8946.3 |
| 1393 | 2025-04-27 18:41:37 | shes | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 1392 | 2025-04-27 18:39:42 | shes | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 1391 | 2025-04-25 03:46:06 | shes | 1 | 13983 | 14 | 0.516 | 27098.8 |
| 1390 | 2025-04-20 16:39:01 | shes | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1389 | 2025-04-20 04:43:02 | shes | 1 | 13983 | 14 | 1.326 | 10545.2 |
| 1388 | 2025-04-16 02:46:10 | shes | 1 | 13983 | 14 | 1.046 | 13368.1 |
| 1387 | 2025-04-14 22:52:53 | shes | 1 | 13983 | 14 | 0.903 | 15485.0 |
| 1386 | 2025-04-14 08:50:58 | shes | 1 | 13983 | 14 | 1.173 | 11920.7 |
| 1385 | 2025-04-10 10:58:52 | shes | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1384 | 2025-04-06 13:36:35 | shes | 1 | 13983 | 14 | 0.690 | 20265.2 |
| 1383 | 2025-03-30 20:20:43 | shes | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1382 | 2025-03-29 06:26:48 | shes | 1 | 13983 | 14 | 0.656 | 21315.5 |
| 1381 | 2025-03-29 01:49:35 | shes | 1 | 13983 | 14 | 1.373 | 10184.3 |
| 1380 | 2025-03-22 21:07:18 | shes | 1 | 13983 | 14 | 0.843 | 16587.2 |
| 1379 | 2025-03-20 06:35:03 | shes | 1 | 13983 | 14 | 0.920 | 15198.9 |
| 1378 | 2025-03-14 22:03:48 | shes | 1 | 13983 | 14 | 1.280 | 10924.2 |
| 1377 | 2025-03-07 11:14:03 | shes | 2 | 29872 | 482 | 2.263 | 13200.2 |
| 1376 | 2025-03-07 11:13:50 | shes | 1 | 13983 | 14 | 0.610 | 22923.0 |
| 1375 | 2025-02-26 10:43:38 | shes | 2 | 29872 | 482 | 4.623 | 6461.6 |
| 1374 | 2025-02-26 08:31:51 | shes | 2 | 29872 | 482 | 4.263 | 7007.3 |
| 1373 | 2025-02-26 08:30:10 | shes | 1 | 13983 | 14 | 0.890 | 15711.2 |
| 1372 | 2025-02-25 06:42:08 | shes | 1 | 13983 | 14 | 0.656 | 21315.5 |
| 1371 | 2025-02-23 03:29:52 | shes | 1 | 13983 | 14 | 0.906 | 15433.8 |
| 1370 | 2025-02-05 07:16:34 | shes | 1 | 13983 | 14 | 2.000 | 6991.5 |
| 1369 | 2025-02-01 23:57:59 | shes | 1 | 13983 | 14 | 0.923 | 15149.5 |
| 1368 | 2025-01-26 18:52:08 | shes | 2 | 29872 | 482 | 0.860 | 34734.9 |
| 1367 | 2025-01-26 13:15:28 | shes | 2 | 29872 | 482 | 0.843 | 35435.3 |
| 1366 | 2025-01-26 12:06:49 | shes | 2 | 29872 | 482 | 2.063 | 14479.9 |
| 1365 | 2025-01-26 12:02:27 | shes | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 1364 | 2025-01-26 00:47:45 | shes | 1 | 13983 | 14 | 0.296 | 47239.9 |
| 1363 | 2025-01-24 02:18:15 | shes | 1 | 13983 | 14 | 0.330 | 42372.7 |
| 1362 | 2025-01-05 20:17:52 | shes | 1 | 13983 | 14 | 0.686 | 20383.4 |
| 1361 | 2024-12-27 11:32:54 | shes | 2 | 29872 | 482 | 4.110 | 7268.1 |