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 |
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 |
1430 | 2025-05-29 04:05:51 | wen | 1 | 5146 | 29 | 0.376 | 13686.2 |
1429 | 2025-05-28 04:17:49 | wen | 1 | 5146 | 29 | 0.080 | 64325.0 |
1428 | 2025-05-25 16:14:12 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
1427 | 2025-05-22 17:19:01 | wen | 2 | 14084 | 451 | 2.703 | 5210.5 |
1426 | 2025-05-21 06:40:24 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
1425 | 2025-05-21 03:14:08 | wen | 1 | 5146 | 29 | 0.076 | 67710.5 |
1424 | 2025-05-14 18:26:22 | wen | 1 | 5146 | 29 | 0.110 | 46781.8 |
1423 | 2025-05-08 16:35:26 | wen | 2 | 14084 | 451 | 1.466 | 9607.1 |
1422 | 2025-05-07 07:11:37 | wen | 2 | 14084 | 451 | 0.373 | 37758.7 |
1421 | 2025-05-07 06:59:19 | wen | 1 | 5146 | 29 | 0.076 | 67710.5 |
1420 | 2025-05-03 19:43:54 | wen | 1 | 5146 | 29 | 0.596 | 8634.2 |
1419 | 2025-05-01 20:14:49 | wen | 2 | 14084 | 451 | 0.343 | 41061.2 |
1418 | 2025-04-28 14:13:17 | wen | 1 | 5146 | 29 | 1.000 | 5146.0 |
1417 | 2025-04-28 13:56:07 | wen | 1 | 5146 | 29 | 0.533 | 9654.8 |
1416 | 2025-04-28 04:04:39 | wen | 1 | 5146 | 29 | 1.076 | 4782.5 |
1415 | 2025-04-28 02:52:58 | wen | 1 | 5146 | 29 | 0.233 | 22085.8 |
1414 | 2025-04-27 08:05:01 | wen | 1 | 5146 | 29 | 0.080 | 64325.0 |
1413 | 2025-04-18 15:09:38 | wen | 2 | 14084 | 451 | 1.360 | 10355.9 |
1412 | 2025-04-17 22:38:40 | wen | 2 | 14084 | 451 | 0.953 | 14778.6 |
1411 | 2025-04-16 06:43:37 | wen | 2 | 14084 | 451 | 2.000 | 7042.0 |
1410 | 2025-04-15 12:48:10 | wen | 1 | 5146 | 29 | 0.593 | 8677.9 |
1409 | 2025-04-15 05:13:12 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
1408 | 2025-04-13 11:56:44 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |
1407 | 2025-04-13 11:38:19 | wen | 1 | 5146 | 29 | 0.093 | 55333.3 |