History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"knosp"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1810 | 2024-04-27 10:00:57 | knosp | 1 | 28756 | 4 | 0.500 | 57512.0 |
1809 | 2024-04-08 13:13:56 | knosp | 1 | 28756 | 4 | 1.623 | 17717.8 |
1808 | 2024-04-03 06:30:34 | knosp | 3 | 83667 | 515 | 13.373 | 6256.4 |
1807 | 2024-04-03 06:30:35 | knosp | 2 | 53800 | 30 | 3.966 | 13565.3 |
1806 | 2024-04-03 06:22:12 | knosp | 1 | 28756 | 4 | 1.596 | 18017.5 |
1805 | 2024-03-31 14:59:23 | knosp | 1 | 28756 | 4 | 0.466 | 61708.2 |
1804 | 2024-03-29 07:12:05 | knosp | 1 | 28756 | 4 | 0.533 | 53951.2 |
1803 | 2024-03-29 04:25:25 | knosp | 2 | 53800 | 30 | 4.250 | 12658.8 |
1802 | 2024-03-29 04:25:16 | knosp | 3 | 83667 | 515 | 6.876 | 12168.0 |
1801 | 2024-03-29 04:25:21 | knosp | 1 | 28756 | 4 | 1.046 | 27491.4 |
1800 | 2024-03-29 04:25:15 | knosp | 2 | 53800 | 30 | 2.546 | 21131.2 |
1799 | 2024-03-29 04:25:09 | knosp | 1 | 28756 | 4 | 0.483 | 59536.2 |
1798 | 2024-03-28 10:51:17 | knosp | 1 | 28756 | 4 | 0.483 | 59536.2 |
1797 | 2024-03-22 22:19:11 | knosp | 3 | 83667 | 515 | 3.516 | 23796.1 |
1796 | 2024-03-16 16:45:30 | knosp | 3 | 83667 | 515 | 6.703 | 12482.0 |
1795 | 2024-03-15 14:57:53 | knosp | 3 | 83667 | 515 | 3.783 | 22116.6 |
1794 | 2024-03-12 01:01:13 | knosp | 2 | 53800 | 30 | 1.720 | 31279.1 |
1793 | 2024-03-11 16:30:15 | knosp | 2 | 53800 | 30 | 3.906 | 13773.7 |
1792 | 2024-03-10 18:44:18 | knosp | 3 | 83667 | 515 | 10.000 | 8366.7 |
1791 | 2024-03-09 10:11:46 | knosp | 3 | 83667 | 515 | 3.123 | 26790.6 |
1790 | 2024-03-04 03:52:22 | knosp | 3 | 83667 | 515 | 4.313 | 19398.8 |
1789 | 2024-03-04 03:52:23 | knosp | 2 | 53800 | 30 | 2.893 | 18596.6 |
1788 | 2024-03-04 00:44:36 | knosp | 1 | 28756 | 4 | 0.483 | 59536.2 |
1787 | 2024-03-01 11:37:56 | knosp | 1 | 28756 | 4 | 0.440 | 65354.5 |
1786 | 2024-02-28 02:54:05 | knosp | 1 | 28756 | 4 | 0.516 | 55728.7 |
1785 | 2024-02-18 22:04:23 | knosp | 1 | 28756 | 4 | 0.453 | 63479.0 |
1784 | 2024-02-03 00:39:15 | knosp | 1 | 28756 | 4 | 0.986 | 29164.3 |
1783 | 2024-01-29 19:17:18 | knosp | 2 | 53800 | 30 | 1.436 | 37465.2 |
1782 | 2024-01-28 23:27:17 | knosp | 1 | 28756 | 4 | 0.453 | 63479.0 |
1781 | 2024-01-28 23:21:07 | knosp | 2 | 53800 | 30 | 1.546 | 34799.5 |
1780 | 2024-01-28 23:20:43 | knosp | 3 | 83667 | 515 | 4.686 | 17854.7 |
1779 | 2024-01-28 04:56:51 | knosp | 2 | 53800 | 30 | 1.296 | 41512.3 |
1778 | 2024-01-26 20:09:46 | knosp | 3 | 83667 | 515 | 3.813 | 21942.6 |
1777 | 2024-01-09 16:24:02 | knosp | 2 | 53800 | 30 | 1.390 | 38705.0 |
1776 | 2023-12-29 10:19:41 | knosp | 3 | 83667 | 515 | 3.563 | 23482.2 |
1775 | 2023-12-28 09:05:18 | knosp | 1 | 28756 | 4 | 0.500 | 57512.0 |
1774 | 2023-12-15 06:35:53 | knosp | 3 | 83667 | 515 | 3.580 | 23370.7 |
1773 | 2023-12-11 20:34:27 | knosp | 3 | 83667 | 515 | 3.953 | 21165.4 |
1772 | 2023-12-05 00:35:14 | knosp | 2 | 53800 | 30 | 1.313 | 40974.9 |
1771 | 2023-11-25 12:47:29 | knosp | 3 | 83667 | 515 | 3.576 | 23396.8 |
1770 | 2023-11-24 18:33:50 | knosp | 3 | 83667 | 515 | 3.783 | 22116.6 |
1769 | 2023-11-20 14:36:04 | knosp | 1 | 28756 | 4 | 0.406 | 70827.6 |
1768 | 2023-11-15 14:19:34 | knosp | 2 | 53800 | 30 | 1.563 | 34421.0 |
1767 | 2023-11-15 14:19:32 | knosp | 3 | 83667 | 515 | 3.343 | 25027.5 |
1766 | 2023-11-14 20:52:18 | knosp | 1 | 28756 | 4 | 0.483 | 59536.2 |
1765 | 2023-11-09 12:19:33 | knosp | 3 | 83667 | 515 | 3.126 | 26764.9 |
1764 | 2023-11-08 16:45:54 | knosp | 1 | 28756 | 4 | 0.500 | 57512.0 |
1763 | 2023-11-06 01:24:46 | knosp | 2 | 53800 | 30 | 1.436 | 37465.2 |
1762 | 2023-10-22 10:02:07 | knosp | 1 | 28756 | 4 | 0.470 | 61183.0 |
1761 | 2023-10-19 21:59:56 | knosp | 1 | 28756 | 4 | 0.826 | 34813.6 |
1760 | 2023-10-19 17:12:55 | knosp | 3 | 83667 | 515 | 4.170 | 20064.0 |
1759 | 2023-10-19 10:40:15 | knosp | 3 | 83667 | 515 | 3.656 | 22884.8 |
1758 | 2023-10-18 06:22:26 | knosp | 1 | 28756 | 4 | 0.483 | 59536.2 |
1757 | 2023-10-17 20:02:43 | knosp | 3 | 83667 | 515 | 8.096 | 10334.4 |
1756 | 2023-10-14 08:13:23 | knosp | 3 | 83667 | 515 | 3.563 | 23482.2 |
1755 | 2023-10-11 16:18:49 | knosp | 3 | 83667 | 515 | 3.250 | 25743.7 |
1754 | 2023-10-11 15:18:04 | knosp | 1 | 28756 | 4 | 0.436 | 65954.1 |
1753 | 2023-10-08 12:18:34 | knosp | 3 | 83667 | 515 | 4.953 | 16892.2 |
1752 | 2023-10-04 01:16:28 | knosp | 1 | 28756 | 4 | 0.453 | 63479.0 |
1751 | 2023-10-03 13:48:13 | knosp | 3 | 83667 | 515 | 4.296 | 19475.6 |
1750 | 2023-10-01 22:40:20 | knosp | 3 | 83667 | 515 | 5.046 | 16580.9 |
1749 | 2023-09-29 11:54:15 | knosp | 3 | 83667 | 515 | 6.360 | 13155.2 |
1748 | 2023-09-28 15:51:50 | knosp | 3 | 83667 | 515 | 3.156 | 26510.5 |
1747 | 2023-09-26 10:39:56 | knosp | 3 | 83667 | 515 | 3.123 | 26790.6 |
1746 | 2023-09-26 02:07:56 | knosp | 1 | 28756 | 4 | 0.483 | 59536.2 |
1745 | 2023-09-25 18:08:28 | knosp | 3 | 83667 | 515 | 3.546 | 23594.8 |
1744 | 2023-09-24 04:53:17 | knosp | 1 | 28756 | 4 | 0.453 | 63479.0 |
1743 | 2023-09-20 14:24:41 | knosp | 1 | 28756 | 4 | 0.436 | 65954.1 |
1742 | 2023-08-25 14:19:01 | knosp | 3 | 83667 | 515 | 3.153 | 26535.7 |
1741 | 2023-08-16 03:40:55 | knosp | 3 | 83667 | 515 | 3.173 | 26368.4 |
1740 | 2023-08-14 20:59:50 | knosp | 1 | 28756 | 4 | 0.436 | 65954.1 |
1739 | 2023-08-11 08:23:20 | knosp | 2 | 53800 | 30 | 1.296 | 41512.3 |
1738 | 2023-06-30 14:30:44 | knosp | 3 | 83667 | 515 | 3.156 | 26510.5 |
1737 | 2023-06-23 00:54:35 | knosp | 3 | 83667 | 515 | 6.186 | 13525.2 |
1736 | 2023-06-21 02:43:38 | knosp | 3 | 83667 | 515 | 3.610 | 23176.5 |
1735 | 2023-06-01 09:47:13 | knosp | 3 | 83667 | 515 | 3.656 | 22884.8 |
1734 | 2023-05-13 04:25:49 | knosp | 1 | 28756 | 4 | 0.470 | 61183.0 |
1733 | 2023-05-10 18:16:19 | knosp | 1 | 28756 | 4 | 0.466 | 61708.2 |
1732 | 2023-05-08 03:00:24 | knosp | 3 | 83667 | 515 | 3.063 | 27315.4 |
1731 | 2023-04-26 12:36:18 | knosp | 2 | 53800 | 30 | 1.296 | 41512.3 |
1730 | 2023-03-18 19:18:33 | knosp | 3 | 83667 | 515 | 3.313 | 25254.2 |
1729 | 2023-03-11 09:22:25 | knosp | 1 | 28756 | 4 | 0.470 | 61183.0 |
1728 | 2023-02-16 02:30:24 | knosp | 3 | 83667 | 515 | 3.623 | 23093.3 |
1727 | 2023-02-01 07:24:26 | knosp | 2 | 53800 | 30 | 1.436 | 37465.2 |
1726 | 2023-01-02 13:20:20 | knosp | 1 | 28756 | 4 | 0.500 | 57512.0 |
1725 | 2022-12-30 11:56:44 | knosp | 1 | 28756 | 4 | 0.406 | 70827.6 |
1724 | 2022-11-28 06:34:20 | knosp | 3 | 83667 | 515 | 3.093 | 27050.4 |
1723 | 2022-11-14 22:05:18 | knosp | 2 | 53800 | 30 | 1.483 | 36277.8 |
1722 | 2022-11-09 07:05:12 | knosp | 3 | 83667 | 515 | 3.360 | 24900.9 |
1721 | 2022-10-12 00:25:54 | knosp | 3 | 83667 | 515 | 3.126 | 26764.9 |
1720 | 2022-09-19 09:17:46 | knosp | 1 | 28756 | 4 | 0.470 | 61183.0 |
1719 | 2022-09-06 06:21:33 | knosp | 3 | 83667 | 515 | 3.673 | 22778.9 |
1718 | 2022-09-04 19:47:05 | knosp | 3 | 83667 | 515 | 3.546 | 23594.8 |
1717 | 2022-08-25 05:45:50 | knosp | 3 | 83667 | 515 | 3.216 | 26015.9 |
1716 | 2022-08-18 21:06:35 | knosp | 3 | 83667 | 515 | 4.063 | 20592.4 |
1715 | 2022-08-18 17:42:38 | knosp | 1 | 28756 | 4 | 0.466 | 61708.2 |
1714 | 2022-08-14 19:07:39 | knosp | 3 | 83667 | 515 | 6.423 | 13026.2 |
1713 | 2022-08-13 23:06:41 | knosp | 3 | 83667 | 515 | 4.296 | 19475.6 |
1712 | 2022-08-11 21:22:49 | knosp | 3 | 83667 | 515 | 3.906 | 21420.1 |
1711 | 2022-08-08 20:21:55 | knosp | 3 | 83667 | 515 | 4.173 | 20049.6 |