History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"mows"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1712 | 2025-12-03 15:43:30 | mows | 2 | 29872 | 429 | 0.906 | 32971.3 |
| 1711 | 2025-12-03 14:44:06 | mows | 2 | 29872 | 429 | 0.970 | 30795.9 |
| 1710 | 2025-12-02 04:55:09 | mows | 1 | 13983 | 34 | 0.233 | 60012.9 |
| 1709 | 2025-11-26 19:52:55 | mows | 1 | 13983 | 34 | 0.216 | 64736.1 |
| 1708 | 2025-11-26 13:06:28 | mows | 1 | 13983 | 34 | 0.283 | 49409.9 |
| 1707 | 2025-11-24 00:46:51 | mows | 1 | 13983 | 34 | 0.250 | 55932.0 |
| 1706 | 2025-11-22 16:45:20 | mows | 2 | 29872 | 429 | 1.923 | 15534.1 |
| 1705 | 2025-11-19 09:10:42 | mows | 1 | 13983 | 34 | 0.250 | 55932.0 |
| 1704 | 2025-11-18 06:14:33 | mows | 1 | 13983 | 34 | 0.233 | 60012.9 |
| 1703 | 2025-11-14 22:09:41 | mows | 1 | 13983 | 34 | 0.266 | 52567.7 |
| 1702 | 2025-11-14 13:19:08 | mows | 1 | 13983 | 34 | 1.233 | 11340.6 |
| 1701 | 2025-11-14 05:46:25 | mows | 1 | 13983 | 34 | 0.220 | 63559.1 |
| 1700 | 2025-11-13 19:03:12 | mows | 1 | 13983 | 34 | 0.516 | 27098.8 |
| 1699 | 2025-11-13 15:41:13 | mows | 1 | 13983 | 34 | 0.233 | 60012.9 |
| 1698 | 2025-11-13 00:48:02 | mows | 2 | 29872 | 429 | 1.046 | 28558.3 |
| 1697 | 2025-11-10 22:25:15 | mows | 1 | 13983 | 34 | 0.250 | 55932.0 |
| 1696 | 2025-11-10 19:31:10 | mows | 1 | 13983 | 34 | 0.220 | 63559.1 |
| 1695 | 2025-11-01 03:35:58 | mows | 1 | 13983 | 34 | 0.250 | 55932.0 |
| 1694 | 2025-10-30 00:43:04 | mows | 1 | 13983 | 34 | 0.233 | 60012.9 |
| 1693 | 2025-10-24 11:21:20 | mows | 1 | 13983 | 34 | 0.250 | 55932.0 |
| 1692 | 2025-10-15 12:48:30 | mows | 2 | 29872 | 429 | 1.016 | 29401.6 |
| 1691 | 2025-09-25 09:14:25 | mows | 1 | 13983 | 34 | 0.516 | 27098.8 |
| 1690 | 2025-09-25 09:14:21 | mows | 1 | 13983 | 34 | 0.906 | 15433.8 |
| 1689 | 2025-09-24 04:14:23 | mows | 1 | 13983 | 34 | 0.483 | 28950.3 |
| 1688 | 2025-09-22 19:58:26 | mows | 2 | 29872 | 429 | 0.950 | 31444.2 |
| 1687 | 2025-09-20 23:54:02 | mows | 1 | 13983 | 34 | 0.516 | 27098.8 |
| 1686 | 2025-09-20 03:05:35 | mows | 2 | 29872 | 429 | 0.813 | 36742.9 |
| 1685 | 2025-09-05 23:56:12 | mows | 1 | 13983 | 34 | 0.280 | 49939.3 |
| 1684 | 2025-09-03 06:56:13 | mows | 1 | 13983 | 34 | 0.266 | 52567.7 |
| 1683 | 2025-09-01 19:05:26 | mows | 2 | 29872 | 429 | 0.873 | 34217.6 |
| 1682 | 2025-09-01 01:10:34 | mows | 2 | 29872 | 429 | 0.763 | 39150.7 |
| 1681 | 2025-08-26 19:29:15 | mows | 1 | 13983 | 34 | 0.250 | 55932.0 |
| 1680 | 2025-08-26 07:05:13 | mows | 1 | 13983 | 34 | 1.140 | 12265.8 |
| 1679 | 2025-08-24 09:13:52 | mows | 1 | 13983 | 34 | 1.360 | 10281.6 |
| 1678 | 2025-08-19 03:10:35 | mows | 1 | 13983 | 34 | 0.673 | 20777.1 |
| 1677 | 2025-08-09 08:19:27 | mows | 1 | 13983 | 34 | 1.593 | 8777.8 |
| 1676 | 2025-08-02 12:22:30 | mows | 1 | 13983 | 34 | 0.953 | 14672.6 |
| 1675 | 2025-07-27 10:00:14 | mows | 1 | 13983 | 34 | 0.813 | 17199.3 |
| 1674 | 2025-07-27 02:04:04 | mows | 1 | 13983 | 34 | 0.283 | 49409.9 |
| 1673 | 2025-07-16 08:21:10 | mows | 1 | 13983 | 34 | 1.030 | 13575.7 |
| 1672 | 2025-07-08 07:02:36 | mows | 1 | 13983 | 34 | 1.016 | 13762.8 |
| 1671 | 2025-07-07 01:26:57 | mows | 1 | 13983 | 34 | 1.483 | 9428.9 |
| 1670 | 2025-07-02 00:51:46 | mows | 1 | 13983 | 34 | 1.186 | 11790.1 |
| 1669 | 2025-06-27 03:58:57 | mows | 1 | 13983 | 34 | 0.703 | 19890.5 |
| 1668 | 2025-06-23 09:08:32 | mows | 1 | 13983 | 34 | 0.203 | 68881.8 |
| 1667 | 2025-06-21 08:48:06 | mows | 1 | 13983 | 34 | 1.313 | 10649.7 |
| 1666 | 2025-06-16 03:38:21 | mows | 1 | 13983 | 34 | 0.263 | 53167.3 |
| 1665 | 2025-06-08 06:35:19 | mows | 1 | 13983 | 34 | 0.953 | 14672.6 |
| 1664 | 2025-05-31 02:47:06 | mows | 2 | 29872 | 429 | 2.186 | 13665.1 |
| 1663 | 2025-05-29 11:45:23 | mows | 1 | 13983 | 34 | 1.906 | 7336.3 |
| 1662 | 2025-05-28 02:41:38 | mows | 1 | 13983 | 34 | 0.250 | 55932.0 |
| 1661 | 2025-05-28 02:25:22 | mows | 1 | 13983 | 34 | 0.250 | 55932.0 |
| 1660 | 2025-05-25 20:47:38 | mows | 1 | 13983 | 34 | 1.330 | 10513.5 |
| 1659 | 2025-05-20 09:01:43 | mows | 1 | 13983 | 34 | 1.593 | 8777.8 |
| 1658 | 2025-05-12 13:00:05 | mows | 1 | 13983 | 34 | 0.686 | 20383.4 |
| 1657 | 2025-05-10 13:55:59 | mows | 1 | 13983 | 34 | 1.736 | 8054.7 |
| 1656 | 2025-05-10 08:12:13 | mows | 1 | 13983 | 34 | 0.780 | 17926.9 |
| 1655 | 2025-05-10 07:54:42 | mows | 1 | 13983 | 34 | 2.123 | 6586.4 |
| 1654 | 2025-05-08 07:01:24 | mows | 1 | 13983 | 34 | 2.063 | 6778.0 |
| 1653 | 2025-05-05 12:10:54 | mows | 2 | 29872 | 429 | 0.876 | 34100.5 |
| 1652 | 2025-05-05 04:23:19 | mows | 1 | 13983 | 34 | 1.580 | 8850.0 |
| 1651 | 2025-05-02 04:10:12 | mows | 2 | 29872 | 429 | 4.406 | 6779.8 |
| 1650 | 2025-05-01 17:50:27 | mows | 1 | 13983 | 34 | 0.250 | 55932.0 |
| 1649 | 2025-05-01 07:11:05 | mows | 2 | 29872 | 429 | 4.406 | 6779.8 |
| 1648 | 2025-04-30 23:41:55 | mows | 1 | 13983 | 34 | 1.280 | 10924.2 |
| 1647 | 2025-04-30 21:39:05 | mows | 1 | 13983 | 34 | 0.670 | 20870.1 |
| 1646 | 2025-04-28 09:03:56 | mows | 2 | 29872 | 429 | 2.220 | 13455.9 |
| 1645 | 2025-04-28 01:36:18 | mows | 2 | 29872 | 429 | 2.956 | 10105.5 |
| 1644 | 2025-04-27 08:49:53 | mows | 1 | 13983 | 34 | 0.250 | 55932.0 |
| 1643 | 2025-04-27 08:38:58 | mows | 1 | 13983 | 34 | 0.250 | 55932.0 |
| 1642 | 2025-04-27 08:30:06 | mows | 1 | 13983 | 34 | 0.516 | 27098.8 |
| 1641 | 2025-04-27 00:41:49 | mows | 2 | 29872 | 429 | 0.750 | 39829.3 |
| 1640 | 2025-04-26 08:39:40 | mows | 2 | 29872 | 429 | 2.780 | 10745.3 |
| 1639 | 2025-04-24 00:33:56 | mows | 2 | 29872 | 429 | 4.266 | 7002.3 |
| 1638 | 2025-04-23 14:54:26 | mows | 2 | 29872 | 429 | 0.920 | 32469.6 |
| 1637 | 2025-04-20 07:10:00 | mows | 1 | 13983 | 34 | 1.593 | 8777.8 |
| 1636 | 2025-04-15 03:33:11 | mows | 1 | 13983 | 34 | 1.096 | 12758.2 |
| 1635 | 2025-04-12 23:09:29 | mows | 1 | 13983 | 34 | 0.266 | 52567.7 |
| 1634 | 2025-04-12 10:07:23 | mows | 1 | 13983 | 34 | 1.153 | 12127.5 |
| 1633 | 2025-04-08 07:46:38 | mows | 1 | 13983 | 34 | 0.250 | 55932.0 |
| 1632 | 2025-04-08 05:46:47 | mows | 1 | 13983 | 34 | 0.266 | 52567.7 |
| 1631 | 2025-04-01 18:55:58 | mows | 1 | 13983 | 34 | 0.780 | 17926.9 |
| 1630 | 2025-03-31 09:34:16 | mows | 1 | 13983 | 34 | 1.343 | 10411.8 |
| 1629 | 2025-03-30 13:27:01 | mows | 2 | 29872 | 429 | 4.360 | 6851.4 |
| 1628 | 2025-03-29 09:47:14 | mows | 2 | 29872 | 429 | 6.813 | 4384.6 |
| 1627 | 2025-03-28 23:28:59 | mows | 1 | 13983 | 34 | 1.156 | 12096.0 |
| 1626 | 2025-03-28 09:18:44 | mows | 2 | 29872 | 429 | 0.890 | 33564.0 |
| 1625 | 2025-03-23 02:22:16 | mows | 2 | 29872 | 429 | 2.033 | 14693.6 |
| 1624 | 2025-03-22 05:21:40 | mows | 2 | 29872 | 429 | 4.123 | 7245.2 |
| 1623 | 2025-03-22 00:32:37 | mows | 2 | 29872 | 429 | 1.143 | 26134.7 |
| 1622 | 2025-03-20 02:22:55 | mows | 2 | 29872 | 429 | 3.406 | 8770.4 |
| 1621 | 2025-03-19 08:37:12 | mows | 1 | 13983 | 34 | 0.233 | 60012.9 |
| 1620 | 2025-03-19 08:21:25 | mows | 1 | 13983 | 34 | 0.233 | 60012.9 |
| 1619 | 2025-03-15 08:33:04 | mows | 1 | 13983 | 34 | 1.766 | 7917.9 |
| 1618 | 2025-03-14 22:29:55 | mows | 1 | 13983 | 34 | 0.670 | 20870.1 |
| 1617 | 2025-03-12 21:22:27 | mows | 1 | 13983 | 34 | 1.030 | 13575.7 |
| 1616 | 2025-03-08 05:30:34 | mows | 1 | 13983 | 34 | 1.610 | 8685.1 |
| 1615 | 2025-03-06 09:53:00 | mows | 1 | 13983 | 34 | 1.313 | 10649.7 |
| 1614 | 2025-03-06 08:24:29 | mows | 2 | 29872 | 429 | 4.266 | 7002.3 |
| 1613 | 2025-03-06 03:43:48 | mows | 2 | 29872 | 429 | 4.296 | 6953.4 |