History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sear"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1589 | 2026-02-03 00:08:55 | sear | 1 | 13983 | 32 | 0.296 | 47239.9 |
| 1588 | 2026-02-01 09:35:02 | sear | 1 | 13983 | 32 | 0.530 | 26383.0 |
| 1587 | 2026-02-01 02:42:51 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1586 | 2026-01-30 05:05:04 | sear | 1 | 13983 | 32 | 1.343 | 10411.8 |
| 1585 | 2026-01-30 05:03:56 | sear | 1 | 13983 | 32 | 1.236 | 11313.1 |
| 1584 | 2026-01-30 05:03:35 | sear | 1 | 13983 | 32 | 1.813 | 7712.6 |
| 1583 | 2026-01-28 21:08:05 | sear | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1582 | 2026-01-26 18:34:11 | sear | 1 | 13983 | 32 | 0.283 | 49409.9 |
| 1581 | 2026-01-26 14:09:56 | sear | 1 | 13983 | 32 | 0.500 | 27966.0 |
| 1580 | 2026-01-26 12:45:43 | sear | 1 | 13983 | 32 | 0.263 | 53167.3 |
| 1579 | 2026-01-24 21:17:28 | sear | 1 | 13983 | 32 | 0.310 | 45106.5 |
| 1578 | 2026-01-23 11:50:27 | sear | 1 | 13983 | 32 | 0.263 | 53167.3 |
| 1577 | 2026-01-23 07:52:48 | sear | 1 | 13983 | 32 | 0.233 | 60012.9 |
| 1576 | 2026-01-22 12:38:28 | sear | 1 | 13983 | 32 | 0.263 | 53167.3 |
| 1575 | 2026-01-19 13:41:05 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1574 | 2026-01-07 23:50:17 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1573 | 2026-01-06 20:14:25 | sear | 1 | 13983 | 32 | 0.513 | 27257.3 |
| 1572 | 2026-01-06 02:06:21 | sear | 1 | 13983 | 32 | 0.283 | 49409.9 |
| 1571 | 2025-12-28 23:51:49 | sear | 1 | 13983 | 32 | 0.296 | 47239.9 |
| 1570 | 2025-12-27 12:48:52 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1569 | 2025-12-27 02:49:55 | sear | 1 | 13983 | 32 | 0.233 | 60012.9 |
| 1568 | 2025-12-25 05:23:58 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1567 | 2025-12-17 16:09:10 | sear | 1 | 13983 | 32 | 0.296 | 47239.9 |
| 1566 | 2025-12-15 15:18:02 | sear | 1 | 13983 | 32 | 0.546 | 25609.9 |
| 1565 | 2025-12-15 11:28:10 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1564 | 2025-12-13 15:33:26 | sear | 2 | 29872 | 404 | 0.796 | 37527.6 |
| 1563 | 2025-11-27 16:55:26 | sear | 1 | 13983 | 32 | 0.953 | 14672.6 |
| 1562 | 2025-11-27 16:54:45 | sear | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1561 | 2025-11-26 11:17:55 | sear | 2 | 29872 | 404 | 0.843 | 35435.3 |
| 1560 | 2025-11-25 13:38:57 | sear | 1 | 13983 | 32 | 0.280 | 49939.3 |
| 1559 | 2025-11-25 12:37:45 | sear | 1 | 13983 | 32 | 0.280 | 49939.3 |
| 1558 | 2025-11-25 12:08:00 | sear | 1 | 13983 | 32 | 0.513 | 27257.3 |
| 1557 | 2025-11-24 04:52:25 | sear | 1 | 13983 | 32 | 0.280 | 49939.3 |
| 1556 | 2025-11-22 19:27:41 | sear | 2 | 29872 | 404 | 0.890 | 33564.0 |
| 1555 | 2025-11-20 23:06:09 | sear | 2 | 29872 | 404 | 0.920 | 32469.6 |
| 1554 | 2025-11-20 17:27:11 | sear | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1553 | 2025-11-18 06:48:08 | sear | 1 | 13983 | 32 | 0.233 | 60012.9 |
| 1552 | 2025-11-17 19:41:50 | sear | 1 | 13983 | 32 | 0.263 | 53167.3 |
| 1551 | 2025-11-17 03:24:59 | sear | 1 | 13983 | 32 | 0.263 | 53167.3 |
| 1550 | 2025-11-15 10:11:04 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1549 | 2025-11-15 02:09:30 | sear | 1 | 13983 | 32 | 0.533 | 26234.5 |
| 1548 | 2025-11-15 00:34:00 | sear | 1 | 13983 | 32 | 0.516 | 27098.8 |
| 1547 | 2025-11-14 12:16:10 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1546 | 2025-11-13 17:09:35 | sear | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1545 | 2025-11-10 21:04:18 | sear | 1 | 13983 | 32 | 0.486 | 28771.6 |
| 1544 | 2025-11-03 11:33:22 | sear | 1 | 13983 | 32 | 0.283 | 49409.9 |
| 1543 | 2025-10-25 22:18:20 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1542 | 2025-10-25 12:57:24 | sear | 1 | 13983 | 32 | 0.236 | 59250.0 |
| 1541 | 2025-10-25 08:03:13 | sear | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1540 | 2025-10-22 17:08:21 | sear | 1 | 13983 | 32 | 1.373 | 10184.3 |
| 1539 | 2025-10-20 18:07:00 | sear | 1 | 13983 | 32 | 1.123 | 12451.5 |
| 1538 | 2025-10-17 04:37:14 | sear | 1 | 13983 | 32 | 0.233 | 60012.9 |
| 1537 | 2025-10-14 13:08:51 | sear | 1 | 13983 | 32 | 0.216 | 64736.1 |
| 1536 | 2025-10-12 00:36:40 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1535 | 2025-10-11 21:51:43 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1534 | 2025-10-06 00:25:30 | sear | 1 | 13983 | 32 | 0.233 | 60012.9 |
| 1533 | 2025-09-27 20:03:46 | sear | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1532 | 2025-09-27 11:57:42 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1531 | 2025-09-27 07:00:32 | sear | 1 | 13983 | 32 | 0.280 | 49939.3 |
| 1530 | 2025-09-25 15:23:37 | sear | 1 | 13983 | 32 | 0.673 | 20777.1 |
| 1529 | 2025-09-25 00:59:26 | sear | 1 | 13983 | 32 | 0.673 | 20777.1 |
| 1528 | 2025-09-24 19:40:53 | sear | 1 | 13983 | 32 | 0.283 | 49409.9 |
| 1527 | 2025-09-24 12:58:13 | sear | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1526 | 2025-09-24 01:21:46 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1525 | 2025-09-21 20:16:14 | sear | 1 | 13983 | 32 | 0.220 | 63559.1 |
| 1524 | 2025-09-19 13:20:03 | sear | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1523 | 2025-09-16 04:49:34 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1522 | 2025-09-15 19:19:27 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1521 | 2025-09-11 03:23:02 | sear | 1 | 13983 | 32 | 0.250 | 55932.0 |
| 1520 | 2025-09-06 16:53:27 | sear | 1 | 13983 | 32 | 0.233 | 60012.9 |
| 1519 | 2025-09-03 07:25:39 | sear | 1 | 13983 | 32 | 0.220 | 63559.1 |
| 1518 | 2025-08-30 20:08:31 | sear | 1 | 13983 | 32 | 0.233 | 60012.9 |
| 1517 | 2025-08-30 09:52:41 | sear | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1516 | 2025-08-27 11:42:59 | sear | 1 | 13983 | 32 | 0.343 | 40766.8 |
| 1515 | 2025-08-27 06:39:14 | sear | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1514 | 2025-08-26 17:22:52 | sear | 1 | 13983 | 32 | 0.233 | 60012.9 |
| 1513 | 2025-08-25 17:50:47 | sear | 2 | 29872 | 404 | 2.126 | 14050.8 |
| 1512 | 2025-08-19 17:10:44 | sear | 1 | 13983 | 32 | 0.860 | 16259.3 |
| 1511 | 2025-08-19 11:58:41 | sear | 1 | 13983 | 32 | 0.500 | 27966.0 |
| 1510 | 2025-08-17 23:24:53 | sear | 1 | 13983 | 32 | 1.296 | 10789.4 |
| 1509 | 2025-08-16 11:39:20 | sear | 1 | 13983 | 32 | 0.313 | 44674.1 |
| 1508 | 2025-08-10 16:44:05 | sear | 1 | 13983 | 32 | 0.953 | 14672.6 |
| 1507 | 2025-08-10 06:07:02 | sear | 1 | 13983 | 32 | 0.280 | 49939.3 |
| 1506 | 2025-08-08 06:37:51 | sear | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1505 | 2025-08-04 13:51:17 | sear | 1 | 13983 | 32 | 0.436 | 32071.1 |
| 1504 | 2025-08-03 17:15:18 | sear | 1 | 13983 | 32 | 0.220 | 63559.1 |
| 1503 | 2025-08-03 16:45:41 | sear | 1 | 13983 | 32 | 0.233 | 60012.9 |
| 1502 | 2025-08-01 16:06:01 | sear | 1 | 13983 | 32 | 1.360 | 10281.6 |
| 1501 | 2025-08-01 12:36:18 | sear | 2 | 29872 | 404 | 6.893 | 4333.7 |
| 1500 | 2025-07-31 06:08:59 | sear | 1 | 13983 | 32 | 0.906 | 15433.8 |
| 1499 | 2025-07-27 22:47:55 | sear | 1 | 13983 | 32 | 0.423 | 33056.7 |
| 1498 | 2025-07-27 08:13:43 | sear | 1 | 13983 | 32 | 1.313 | 10649.7 |
| 1497 | 2025-07-26 10:36:30 | sear | 1 | 13983 | 32 | 0.266 | 52567.7 |
| 1496 | 2025-07-22 15:11:07 | sear | 1 | 13983 | 32 | 0.703 | 19890.5 |
| 1495 | 2025-07-22 14:35:13 | sear | 1 | 13983 | 32 | 1.530 | 9139.2 |
| 1494 | 2025-07-18 16:17:00 | sear | 1 | 13983 | 32 | 1.203 | 11623.4 |
| 1493 | 2025-07-15 08:57:35 | sear | 1 | 13983 | 32 | 1.766 | 7917.9 |
| 1492 | 2025-07-10 15:40:48 | sear | 1 | 13983 | 32 | 0.673 | 20777.1 |
| 1491 | 2025-07-08 23:55:02 | sear | 1 | 13983 | 32 | 0.486 | 28771.6 |
| 1490 | 2025-07-07 10:58:53 | sear | 2 | 29872 | 404 | 6.486 | 4605.6 |