History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tans"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1544 | 2025-11-25 12:03:08 | tans | 1 | 13983 | 37 | 0.266 | 52567.7 |
| 1543 | 2025-11-23 08:37:24 | tans | 1 | 13983 | 37 | 0.266 | 52567.7 |
| 1542 | 2025-11-22 17:14:13 | tans | 2 | 29872 | 676 | 0.936 | 31914.5 |
| 1541 | 2025-11-22 11:29:59 | tans | 2 | 29872 | 676 | 4.813 | 6206.5 |
| 1540 | 2025-11-20 19:07:09 | tans | 2 | 29872 | 676 | 1.000 | 29872.0 |
| 1539 | 2025-11-17 23:02:12 | tans | 1 | 13983 | 37 | 0.263 | 53167.3 |
| 1538 | 2025-11-17 11:37:58 | tans | 1 | 13983 | 37 | 0.283 | 49409.9 |
| 1537 | 2025-11-15 19:51:46 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1536 | 2025-11-15 12:54:55 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1535 | 2025-11-15 03:13:01 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1534 | 2025-11-14 12:50:02 | tans | 1 | 13983 | 37 | 0.686 | 20383.4 |
| 1533 | 2025-11-13 17:41:32 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1532 | 2025-11-12 06:57:55 | tans | 1 | 13983 | 37 | 0.280 | 49939.3 |
| 1531 | 2025-11-10 21:39:13 | tans | 1 | 13983 | 37 | 0.266 | 52567.7 |
| 1530 | 2025-11-10 06:55:47 | tans | 1 | 13983 | 37 | 0.233 | 60012.9 |
| 1529 | 2025-11-07 18:05:22 | tans | 1 | 13983 | 37 | 0.236 | 59250.0 |
| 1528 | 2025-11-04 22:34:21 | tans | 1 | 13983 | 37 | 0.500 | 27966.0 |
| 1527 | 2025-10-25 12:22:07 | tans | 1 | 13983 | 37 | 0.233 | 60012.9 |
| 1526 | 2025-10-24 17:05:23 | tans | 1 | 13983 | 37 | 0.280 | 49939.3 |
| 1525 | 2025-10-24 14:23:40 | tans | 1 | 13983 | 37 | 0.280 | 49939.3 |
| 1524 | 2025-10-24 12:02:07 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1523 | 2025-10-24 00:20:38 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1522 | 2025-10-23 21:08:52 | tans | 1 | 13983 | 37 | 1.313 | 10649.7 |
| 1521 | 2025-10-23 14:31:40 | tans | 1 | 13983 | 37 | 0.700 | 19975.7 |
| 1520 | 2025-10-23 14:31:28 | tans | 1 | 13983 | 37 | 0.453 | 30867.5 |
| 1519 | 2025-10-23 02:30:15 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1518 | 2025-10-19 10:33:34 | tans | 1 | 13983 | 37 | 0.860 | 16259.3 |
| 1517 | 2025-10-19 10:33:29 | tans | 1 | 13983 | 37 | 0.330 | 42372.7 |
| 1516 | 2025-10-19 10:33:26 | tans | 1 | 13983 | 37 | 0.263 | 53167.3 |
| 1515 | 2025-10-16 04:41:08 | tans | 1 | 13983 | 37 | 0.236 | 59250.0 |
| 1514 | 2025-10-14 04:06:21 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1513 | 2025-10-11 15:16:34 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1512 | 2025-10-05 19:55:01 | tans | 1 | 13983 | 37 | 0.266 | 52567.7 |
| 1511 | 2025-09-28 12:03:38 | tans | 2 | 29872 | 676 | 0.873 | 34217.6 |
| 1510 | 2025-09-28 11:56:10 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1509 | 2025-09-28 04:51:31 | tans | 1 | 13983 | 37 | 1.720 | 8129.7 |
| 1508 | 2025-09-28 04:50:55 | tans | 1 | 13983 | 37 | 1.343 | 10411.8 |
| 1507 | 2025-09-27 16:21:08 | tans | 1 | 13983 | 37 | 0.266 | 52567.7 |
| 1506 | 2025-09-27 11:46:02 | tans | 1 | 13983 | 37 | 0.236 | 59250.0 |
| 1505 | 2025-09-24 23:20:45 | tans | 1 | 13983 | 37 | 0.500 | 27966.0 |
| 1504 | 2025-09-24 23:20:41 | tans | 1 | 13983 | 37 | 1.923 | 7271.5 |
| 1503 | 2025-09-24 23:20:36 | tans | 1 | 13983 | 37 | 0.783 | 17858.2 |
| 1502 | 2025-09-24 23:20:29 | tans | 1 | 13983 | 37 | 0.546 | 25609.9 |
| 1501 | 2025-09-24 12:41:14 | tans | 1 | 13983 | 37 | 0.233 | 60012.9 |
| 1500 | 2025-09-22 17:38:27 | tans | 1 | 13983 | 37 | 0.266 | 52567.7 |
| 1499 | 2025-09-17 23:02:59 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1498 | 2025-09-15 01:55:37 | tans | 2 | 29872 | 676 | 0.873 | 34217.6 |
| 1497 | 2025-09-08 08:20:19 | tans | 2 | 29872 | 676 | 0.860 | 34734.9 |
| 1496 | 2025-09-07 11:58:27 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1495 | 2025-09-06 05:07:24 | tans | 1 | 13983 | 37 | 0.283 | 49409.9 |
| 1494 | 2025-09-01 06:47:40 | tans | 1 | 13983 | 37 | 0.233 | 60012.9 |
| 1493 | 2025-08-30 22:07:18 | tans | 1 | 13983 | 37 | 0.263 | 53167.3 |
| 1492 | 2025-08-27 14:30:55 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1491 | 2025-08-25 12:41:49 | tans | 1 | 13983 | 37 | 0.610 | 22923.0 |
| 1490 | 2025-08-11 10:07:48 | tans | 1 | 13983 | 37 | 0.530 | 26383.0 |
| 1489 | 2025-08-08 22:36:01 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1488 | 2025-08-05 04:53:16 | tans | 1 | 13983 | 37 | 0.483 | 28950.3 |
| 1487 | 2025-08-04 21:32:39 | tans | 2 | 29872 | 676 | 2.283 | 13084.5 |
| 1486 | 2025-08-02 07:46:26 | tans | 2 | 29872 | 676 | 2.436 | 12262.7 |
| 1485 | 2025-08-01 12:10:51 | tans | 1 | 13983 | 37 | 1.016 | 13762.8 |
| 1484 | 2025-07-31 15:33:21 | tans | 2 | 29872 | 676 | 2.686 | 11121.4 |
| 1483 | 2025-07-31 01:41:53 | tans | 1 | 13983 | 37 | 1.483 | 9428.9 |
| 1482 | 2025-07-30 12:25:27 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1481 | 2025-07-27 14:14:55 | tans | 1 | 13983 | 37 | 0.593 | 23580.1 |
| 1480 | 2025-07-27 04:11:13 | tans | 1 | 13983 | 37 | 0.280 | 49939.3 |
| 1479 | 2025-07-24 19:27:32 | tans | 1 | 13983 | 37 | 0.640 | 21848.4 |
| 1478 | 2025-07-24 13:28:57 | tans | 1 | 13983 | 37 | 1.126 | 12418.3 |
| 1477 | 2025-07-23 20:08:55 | tans | 1 | 13983 | 37 | 0.670 | 20870.1 |
| 1476 | 2025-07-22 12:08:44 | tans | 1 | 13983 | 37 | 0.703 | 19890.5 |
| 1475 | 2025-07-21 22:56:31 | tans | 1 | 13983 | 37 | 0.280 | 49939.3 |
| 1474 | 2025-07-20 16:37:49 | tans | 1 | 13983 | 37 | 0.593 | 23580.1 |
| 1473 | 2025-07-17 13:50:31 | tans | 1 | 13983 | 37 | 0.733 | 19076.4 |
| 1472 | 2025-07-16 18:42:15 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1471 | 2025-07-15 07:08:49 | tans | 1 | 13983 | 37 | 1.220 | 11461.5 |
| 1470 | 2025-07-15 04:58:14 | tans | 2 | 29872 | 676 | 3.966 | 7532.0 |
| 1469 | 2025-07-14 05:50:44 | tans | 2 | 29872 | 676 | 6.610 | 4519.2 |
| 1468 | 2025-07-12 03:29:32 | tans | 2 | 29872 | 676 | 1.736 | 17207.4 |
| 1467 | 2025-07-08 16:14:54 | tans | 1 | 13983 | 37 | 1.936 | 7222.6 |
| 1466 | 2025-07-03 21:41:53 | tans | 1 | 13983 | 37 | 0.266 | 52567.7 |
| 1465 | 2025-07-02 05:05:35 | tans | 1 | 13983 | 37 | 0.733 | 19076.4 |
| 1464 | 2025-06-30 05:11:54 | tans | 2 | 29872 | 676 | 8.096 | 3689.7 |
| 1463 | 2025-06-29 17:26:00 | tans | 1 | 13983 | 37 | 0.263 | 53167.3 |
| 1462 | 2025-06-28 23:21:16 | tans | 1 | 13983 | 37 | 1.000 | 13983.0 |
| 1461 | 2025-06-28 13:16:57 | tans | 2 | 29872 | 676 | 6.750 | 4425.5 |
| 1460 | 2025-06-27 17:41:40 | tans | 2 | 29872 | 676 | 4.220 | 7078.7 |
| 1459 | 2025-06-26 12:27:34 | tans | 1 | 13983 | 37 | 1.610 | 8685.1 |
| 1458 | 2025-06-25 19:56:23 | tans | 2 | 29872 | 676 | 1.000 | 29872.0 |
| 1457 | 2025-06-23 14:41:52 | tans | 1 | 13983 | 37 | 1.936 | 7222.6 |
| 1456 | 2025-06-22 08:46:11 | tans | 2 | 29872 | 676 | 2.156 | 13855.3 |
| 1455 | 2025-06-21 12:36:53 | tans | 1 | 13983 | 37 | 0.890 | 15711.2 |
| 1454 | 2025-06-21 09:17:09 | tans | 1 | 13983 | 37 | 0.263 | 53167.3 |
| 1453 | 2025-06-20 14:08:12 | tans | 2 | 29872 | 676 | 2.516 | 11872.8 |
| 1452 | 2025-06-19 10:28:25 | tans | 2 | 29872 | 676 | 5.626 | 5309.6 |
| 1451 | 2025-06-19 06:15:46 | tans | 2 | 29872 | 676 | 0.783 | 38150.7 |
| 1450 | 2025-06-17 18:34:50 | tans | 1 | 13983 | 37 | 0.250 | 55932.0 |
| 1449 | 2025-06-17 10:45:19 | tans | 1 | 13983 | 37 | 0.263 | 53167.3 |
| 1448 | 2025-06-16 10:44:36 | tans | 1 | 13983 | 37 | 1.060 | 13191.5 |
| 1447 | 2025-06-12 04:13:04 | tans | 1 | 13983 | 37 | 0.890 | 15711.2 |
| 1446 | 2025-06-10 10:48:58 | tans | 1 | 13983 | 37 | 0.830 | 16847.0 |
| 1445 | 2025-06-09 15:43:53 | tans | 1 | 13983 | 37 | 0.440 | 31779.5 |