History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"wen"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1530 | 2025-12-04 21:10:11 | wen | 1 | 5146 | 29 | 0.310 | 16600.0 |
| 1529 | 2025-12-01 20:34:15 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1528 | 2025-11-28 05:37:47 | wen | 2 | 14084 | 451 | 0.390 | 36112.8 |
| 1527 | 2025-11-25 07:02:13 | wen | 2 | 14084 | 451 | 0.373 | 37758.7 |
| 1526 | 2025-11-23 05:48:58 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1525 | 2025-11-21 15:27:53 | wen | 2 | 14084 | 451 | 0.406 | 34689.7 |
| 1524 | 2025-11-21 09:25:36 | wen | 2 | 14084 | 451 | 0.346 | 40705.2 |
| 1523 | 2025-11-20 07:19:05 | wen | 1 | 5146 | 29 | 0.076 | 67710.5 |
| 1522 | 2025-11-20 07:18:27 | wen | 1 | 5146 | 29 | 0.076 | 67710.5 |
| 1521 | 2025-11-17 20:37:54 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1520 | 2025-11-17 04:18:59 | wen | 2 | 14084 | 451 | 0.343 | 41061.2 |
| 1519 | 2025-11-16 13:18:07 | wen | 2 | 14084 | 451 | 0.406 | 34689.7 |
| 1518 | 2025-11-13 15:23:00 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1517 | 2025-11-12 19:01:38 | wen | 1 | 5146 | 29 | 0.063 | 81682.5 |
| 1516 | 2025-11-10 09:29:30 | wen | 1 | 5146 | 29 | 0.096 | 53604.2 |
| 1515 | 2025-11-10 02:54:49 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1514 | 2025-10-30 08:03:35 | wen | 1 | 5146 | 29 | 0.716 | 7187.2 |
| 1513 | 2025-10-30 08:03:20 | wen | 1 | 5146 | 29 | 0.170 | 30270.6 |
| 1512 | 2025-10-30 08:03:06 | wen | 1 | 5146 | 29 | 0.686 | 7501.5 |
| 1511 | 2025-10-30 08:02:54 | wen | 1 | 5146 | 29 | 0.500 | 10292.0 |
| 1510 | 2025-10-19 10:20:28 | wen | 1 | 5146 | 29 | 0.733 | 7020.5 |
| 1509 | 2025-10-19 10:20:24 | wen | 1 | 5146 | 29 | 0.296 | 17385.1 |
| 1508 | 2025-10-19 10:20:20 | wen | 1 | 5146 | 29 | 0.500 | 10292.0 |
| 1507 | 2025-10-19 10:20:18 | wen | 1 | 5146 | 29 | 0.266 | 19345.9 |
| 1506 | 2025-10-15 21:30:53 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1505 | 2025-10-15 15:30:07 | wen | 1 | 5146 | 29 | 0.080 | 64325.0 |
| 1504 | 2025-10-12 17:02:01 | wen | 1 | 5146 | 29 | 0.076 | 67710.5 |
| 1503 | 2025-10-11 19:36:04 | wen | 1 | 5146 | 29 | 0.080 | 64325.0 |
| 1502 | 2025-10-10 23:19:33 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1501 | 2025-10-05 12:14:08 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1500 | 2025-10-04 20:34:36 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1499 | 2025-10-01 03:44:33 | wen | 1 | 5146 | 29 | 0.140 | 36757.1 |
| 1498 | 2025-09-30 14:57:15 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1497 | 2025-09-25 00:02:52 | wen | 1 | 5146 | 29 | 0.220 | 23390.9 |
| 1496 | 2025-09-25 00:02:48 | wen | 1 | 5146 | 29 | 0.330 | 15593.9 |
| 1495 | 2025-09-25 00:02:45 | wen | 1 | 5146 | 29 | 0.220 | 23390.9 |
| 1494 | 2025-09-25 00:02:40 | wen | 1 | 5146 | 29 | 0.343 | 15002.9 |
| 1493 | 2025-09-24 22:23:36 | wen | 2 | 14084 | 451 | 1.936 | 7274.8 |
| 1492 | 2025-09-24 22:23:35 | wen | 2 | 14084 | 451 | 1.140 | 12354.4 |
| 1491 | 2025-09-24 22:23:34 | wen | 2 | 14084 | 451 | 1.656 | 8504.8 |
| 1490 | 2025-09-24 16:26:17 | wen | 2 | 14084 | 451 | 0.326 | 43202.5 |
| 1489 | 2025-09-21 19:38:44 | wen | 1 | 5146 | 29 | 0.173 | 29745.7 |
| 1488 | 2025-09-19 15:31:16 | wen | 1 | 5146 | 29 | 0.076 | 67710.5 |
| 1487 | 2025-09-15 12:09:55 | wen | 1 | 5146 | 29 | 0.076 | 67710.5 |
| 1486 | 2025-09-14 15:04:21 | wen | 1 | 5146 | 29 | 0.096 | 53604.2 |
| 1485 | 2025-09-12 05:14:37 | wen | 1 | 5146 | 29 | 0.080 | 64325.0 |
| 1484 | 2025-09-11 12:02:28 | wen | 1 | 5146 | 29 | 0.096 | 53604.2 |
| 1483 | 2025-09-10 08:42:45 | wen | 2 | 14084 | 451 | 0.440 | 32009.1 |
| 1482 | 2025-09-07 23:43:53 | wen | 2 | 14084 | 451 | 0.360 | 39122.2 |
| 1481 | 2025-08-31 20:29:52 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1480 | 2025-08-30 18:35:56 | wen | 1 | 5146 | 29 | 0.483 | 10654.2 |
| 1479 | 2025-08-29 19:08:30 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1478 | 2025-08-27 08:20:15 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1477 | 2025-08-25 13:30:08 | wen | 1 | 5146 | 29 | 0.266 | 19345.9 |
| 1476 | 2025-08-25 04:46:12 | wen | 1 | 5146 | 29 | 0.546 | 9424.9 |
| 1475 | 2025-08-17 12:36:06 | wen | 1 | 5146 | 29 | 0.110 | 46781.8 |
| 1474 | 2025-08-13 20:50:04 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1473 | 2025-08-08 19:05:45 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1472 | 2025-08-05 09:03:24 | wen | 1 | 5146 | 29 | 0.110 | 46781.8 |
| 1471 | 2025-08-04 08:20:40 | wen | 1 | 5146 | 29 | 0.486 | 10588.5 |
| 1470 | 2025-08-01 20:13:38 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1469 | 2025-08-01 01:41:29 | wen | 2 | 14084 | 451 | 1.876 | 7507.5 |
| 1468 | 2025-07-31 17:05:47 | wen | 1 | 5146 | 29 | 0.080 | 64325.0 |
| 1467 | 2025-07-31 03:57:50 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1466 | 2025-07-27 09:03:04 | wen | 1 | 5146 | 29 | 0.296 | 17385.1 |
| 1465 | 2025-07-26 01:37:00 | wen | 1 | 5146 | 29 | 0.076 | 67710.5 |
| 1464 | 2025-07-24 06:37:30 | wen | 1 | 5146 | 29 | 0.220 | 23390.9 |
| 1463 | 2025-07-23 13:40:33 | wen | 1 | 5146 | 29 | 0.356 | 14455.1 |
| 1462 | 2025-07-20 17:07:53 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1461 | 2025-07-17 16:29:06 | wen | 1 | 5146 | 29 | 0.220 | 23390.9 |
| 1460 | 2025-07-15 12:21:32 | wen | 1 | 5146 | 29 | 0.923 | 5575.3 |
| 1459 | 2025-07-13 00:01:15 | wen | 2 | 14084 | 451 | 0.970 | 14519.6 |
| 1458 | 2025-07-12 13:03:38 | wen | 1 | 5146 | 29 | 0.076 | 67710.5 |
| 1457 | 2025-07-10 03:46:28 | wen | 2 | 14084 | 451 | 1.390 | 10132.4 |
| 1456 | 2025-07-09 10:14:25 | wen | 1 | 5146 | 29 | 0.106 | 48547.2 |
| 1455 | 2025-07-07 14:51:05 | wen | 2 | 14084 | 451 | 1.453 | 9693.0 |
| 1454 | 2025-07-06 07:52:28 | wen | 1 | 5146 | 29 | 0.080 | 64325.0 |
| 1453 | 2025-07-06 02:29:23 | wen | 1 | 5146 | 29 | 0.203 | 25349.8 |
| 1452 | 2025-07-05 22:41:05 | wen | 1 | 5146 | 29 | 0.076 | 67710.5 |
| 1451 | 2025-07-04 08:24:29 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1450 | 2025-06-30 00:16:46 | wen | 2 | 14084 | 451 | 2.096 | 6719.5 |
| 1449 | 2025-06-29 03:44:23 | wen | 1 | 5146 | 29 | 0.090 | 57177.8 |
| 1448 | 2025-06-27 18:18:33 | wen | 1 | 5146 | 29 | 0.076 | 67710.5 |
| 1447 | 2025-06-21 19:53:22 | wen | 1 | 5146 | 29 | 0.203 | 25349.8 |
| 1446 | 2025-06-21 06:17:50 | wen | 1 | 5146 | 29 | 0.170 | 30270.6 |
| 1445 | 2025-06-17 04:00:47 | wen | 1 | 5146 | 29 | 0.580 | 8872.4 |
| 1444 | 2025-06-16 17:23:22 | wen | 1 | 5146 | 29 | 0.876 | 5874.4 |
| 1443 | 2025-06-16 07:12:52 | wen | 2 | 14084 | 451 | 2.780 | 5066.2 |
| 1442 | 2025-06-15 21:41:04 | wen | 1 | 5146 | 29 | 0.530 | 9709.4 |
| 1441 | 2025-06-15 12:47:08 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1440 | 2025-06-06 07:41:53 | wen | 1 | 5146 | 29 | 0.640 | 8040.6 |
| 1439 | 2025-06-04 11:04:57 | wen | 1 | 5146 | 29 | 0.453 | 11359.8 |
| 1438 | 2025-06-02 04:44:36 | wen | 1 | 5146 | 29 | 0.606 | 8491.7 |
| 1437 | 2025-06-01 22:49:51 | wen | 2 | 14084 | 451 | 0.860 | 16376.7 |
| 1436 | 2025-06-01 22:21:17 | wen | 2 | 14084 | 451 | 1.513 | 9308.7 |
| 1435 | 2025-05-31 23:44:05 | wen | 2 | 14084 | 451 | 0.983 | 14327.6 |
| 1434 | 2025-05-31 08:19:19 | wen | 1 | 5146 | 29 | 0.500 | 10292.0 |
| 1433 | 2025-05-30 10:30:49 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
| 1432 | 2025-05-30 09:16:33 | wen | 1 | 5146 | 29 | 0.110 | 46781.8 |
| 1431 | 2025-05-30 03:35:25 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |