History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"bows"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1717 | 2024-04-14 10:45:07 | bows | 1 | 13983 | 31 | 0.263 | 53167.3 |
1716 | 2024-04-11 16:37:22 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
1715 | 2024-04-11 16:37:08 | bows | 2 | 29872 | 460 | 0.986 | 30296.1 |
1714 | 2024-04-11 16:36:26 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1713 | 2024-04-02 23:02:18 | bows | 1 | 13983 | 31 | 0.860 | 16259.3 |
1712 | 2024-04-01 17:20:33 | bows | 2 | 29872 | 460 | 1.046 | 28558.3 |
1711 | 2024-04-01 16:36:57 | bows | 1 | 13983 | 31 | 0.546 | 25609.9 |
1710 | 2024-03-31 00:23:42 | bows | 1 | 13983 | 31 | 0.546 | 25609.9 |
1709 | 2024-03-28 19:04:01 | bows | 2 | 29872 | 460 | 2.126 | 14050.8 |
1708 | 2024-03-28 18:00:13 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1707 | 2024-03-12 08:29:34 | bows | 1 | 13983 | 31 | 0.280 | 49939.3 |
1706 | 2024-03-12 08:29:19 | bows | 2 | 29872 | 460 | 1.033 | 28917.7 |
1705 | 2024-03-12 08:29:11 | bows | 1 | 13983 | 31 | 0.283 | 49409.9 |
1704 | 2024-03-03 20:40:34 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1703 | 2024-03-02 14:05:00 | bows | 1 | 13983 | 31 | 1.233 | 11340.6 |
1702 | 2024-02-29 22:53:12 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
1701 | 2024-02-28 17:33:20 | bows | 1 | 13983 | 31 | 0.203 | 68881.8 |
1700 | 2024-02-26 19:08:25 | bows | 1 | 13983 | 31 | 0.813 | 17199.3 |
1699 | 2024-02-11 07:28:55 | bows | 1 | 13983 | 31 | 0.546 | 25609.9 |
1698 | 2024-01-28 16:47:39 | bows | 1 | 13983 | 31 | 0.216 | 64736.1 |
1697 | 2024-01-28 16:31:29 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1696 | 2024-01-10 12:11:51 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1695 | 2024-01-10 04:39:15 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1694 | 2023-12-25 09:32:09 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1693 | 2023-11-30 04:24:48 | bows | 1 | 13983 | 31 | 0.203 | 68881.8 |
1692 | 2023-11-26 21:59:00 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1691 | 2023-11-24 03:52:12 | bows | 2 | 29872 | 460 | 0.750 | 39829.3 |
1690 | 2023-11-24 00:45:57 | bows | 2 | 29872 | 460 | 0.750 | 39829.3 |
1689 | 2023-11-14 05:27:14 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1688 | 2023-11-13 03:43:52 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1687 | 2023-11-09 17:36:47 | bows | 2 | 29872 | 460 | 0.766 | 38997.4 |
1686 | 2023-11-07 11:08:45 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1685 | 2023-11-07 08:21:07 | bows | 1 | 13983 | 31 | 0.216 | 64736.1 |
1684 | 2023-11-03 00:35:07 | bows | 1 | 13983 | 31 | 0.236 | 59250.0 |
1683 | 2023-10-27 07:35:46 | bows | 2 | 29872 | 460 | 0.780 | 38297.4 |
1682 | 2023-10-26 15:24:55 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1681 | 2023-10-19 20:11:39 | bows | 1 | 13983 | 31 | 0.296 | 47239.9 |
1680 | 2023-10-17 01:48:53 | bows | 1 | 13983 | 31 | 0.203 | 68881.8 |
1679 | 2023-10-12 02:47:12 | bows | 1 | 13983 | 31 | 0.216 | 64736.1 |
1678 | 2023-10-11 04:53:17 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1677 | 2023-10-10 09:14:18 | bows | 1 | 13983 | 31 | 0.216 | 64736.1 |
1676 | 2023-10-05 01:33:36 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1675 | 2023-09-26 14:06:48 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1674 | 2023-08-21 04:35:19 | bows | 1 | 13983 | 31 | 0.236 | 59250.0 |
1673 | 2023-08-07 23:50:26 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1672 | 2023-07-16 19:22:56 | bows | 1 | 13983 | 31 | 0.263 | 53167.3 |
1671 | 2023-06-27 00:31:11 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1670 | 2023-06-26 14:57:38 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1669 | 2023-05-21 08:18:05 | bows | 1 | 13983 | 31 | 0.216 | 64736.1 |
1668 | 2023-05-05 09:00:04 | bows | 1 | 13983 | 31 | 0.263 | 53167.3 |
1667 | 2023-05-04 20:59:43 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1666 | 2023-03-27 12:54:13 | bows | 1 | 13983 | 31 | 0.203 | 68881.8 |
1665 | 2023-03-14 07:21:21 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1664 | 2023-03-02 23:17:21 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1663 | 2023-02-27 00:09:59 | bows | 1 | 13983 | 31 | 0.200 | 69915.0 |
1662 | 2023-02-18 14:52:38 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1661 | 2023-02-15 09:50:22 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1660 | 2023-01-20 08:20:09 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1659 | 2022-12-27 00:48:35 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1658 | 2022-12-25 04:30:20 | bows | 1 | 13983 | 31 | 0.236 | 59250.0 |
1657 | 2022-12-06 07:48:42 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1656 | 2022-11-11 23:34:18 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1655 | 2022-10-20 08:01:27 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1654 | 2022-10-19 11:48:49 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1653 | 2022-09-18 23:45:53 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1652 | 2022-09-10 06:07:03 | bows | 1 | 13983 | 31 | 0.203 | 68881.8 |
1651 | 2022-09-08 04:10:10 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1650 | 2022-09-06 15:48:35 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1649 | 2022-09-05 18:24:12 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1648 | 2022-09-04 14:08:13 | bows | 1 | 13983 | 31 | 0.283 | 49409.9 |
1647 | 2022-09-01 22:47:23 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1646 | 2022-09-01 08:38:16 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1645 | 2022-08-31 13:47:36 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1644 | 2022-08-06 04:34:58 | bows | 1 | 13983 | 31 | 0.236 | 59250.0 |
1643 | 2022-08-05 20:01:00 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1642 | 2022-07-16 12:35:03 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1641 | 2022-07-15 11:26:46 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1640 | 2022-07-10 07:09:57 | bows | 1 | 13983 | 31 | 0.236 | 59250.0 |
1639 | 2022-05-29 11:26:05 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1638 | 2022-05-28 09:29:56 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1637 | 2022-05-11 08:47:48 | bows | 1 | 13983 | 31 | 0.360 | 38841.7 |
1636 | 2022-05-10 22:19:06 | bows | 1 | 13983 | 31 | 0.423 | 33056.7 |
1635 | 2022-05-10 06:39:07 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1634 | 2022-05-09 18:36:41 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1633 | 2022-05-08 16:16:03 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
1632 | 2022-05-08 03:31:39 | bows | 1 | 13983 | 31 | 0.203 | 68881.8 |
1631 | 2022-05-07 18:55:38 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1630 | 2022-04-28 23:10:43 | bows | 1 | 13983 | 31 | 0.266 | 52567.7 |
1629 | 2022-04-19 08:49:40 | bows | 1 | 13983 | 31 | 0.296 | 47239.9 |
1628 | 2022-04-15 22:02:20 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1627 | 2022-04-15 04:25:24 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1626 | 2022-04-14 07:30:15 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |
1625 | 2022-04-13 03:58:59 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1624 | 2022-04-10 22:23:22 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1623 | 2022-04-09 22:39:31 | bows | 1 | 13983 | 31 | 0.250 | 55932.0 |
1622 | 2022-03-31 02:51:43 | bows | 1 | 13983 | 31 | 0.233 | 60012.9 |
1621 | 2022-03-30 14:01:19 | bows | 1 | 13983 | 31 | 0.296 | 47239.9 |
1620 | 2022-03-30 01:27:14 | bows | 1 | 13983 | 31 | 0.310 | 45106.5 |
1619 | 2022-03-29 10:54:51 | bows | 1 | 13983 | 31 | 0.313 | 44674.1 |
1618 | 2022-03-28 23:15:32 | bows | 1 | 13983 | 31 | 0.220 | 63559.1 |