History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"fit"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1857 | 2024-05-04 16:31:08 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1856 | 2024-05-03 20:34:35 | fit | 1 | 5146 | 32 | 0.186 | 27666.7 |
1855 | 2024-04-29 18:47:02 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1854 | 2024-04-29 16:02:08 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1853 | 2024-04-29 14:47:54 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1852 | 2024-04-25 07:48:14 | fit | 1 | 5146 | 32 | 0.283 | 18183.7 |
1851 | 2024-04-25 01:19:24 | fit | 1 | 5146 | 32 | 0.186 | 27666.7 |
1850 | 2024-04-13 16:46:57 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1849 | 2024-04-05 19:57:18 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1848 | 2024-04-02 17:51:26 | fit | 1 | 5146 | 32 | 0.280 | 18378.6 |
1847 | 2024-03-30 18:17:31 | fit | 1 | 5146 | 32 | 0.110 | 46781.8 |
1846 | 2024-03-05 09:17:13 | fit | 1 | 5146 | 32 | 0.190 | 27084.2 |
1845 | 2024-03-03 09:21:11 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1844 | 2024-03-02 16:34:16 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1843 | 2024-02-29 19:08:04 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1842 | 2024-02-25 15:56:41 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1841 | 2024-02-01 10:02:39 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1840 | 2024-01-25 18:04:53 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1839 | 2023-12-30 15:19:13 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1838 | 2023-12-29 05:05:55 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1837 | 2023-12-13 11:49:39 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1836 | 2023-11-30 05:57:06 | fit | 2 | 14084 | 472 | 0.360 | 39122.2 |
1835 | 2023-11-26 08:44:15 | fit | 2 | 14084 | 472 | 0.360 | 39122.2 |
1834 | 2023-11-20 18:42:35 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1833 | 2023-11-20 15:14:14 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1832 | 2023-11-10 12:04:38 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1831 | 2023-11-09 15:37:06 | fit | 1 | 5146 | 32 | 0.096 | 53604.2 |
1830 | 2023-11-02 00:01:09 | fit | 2 | 14084 | 472 | 0.373 | 37758.7 |
1829 | 2023-10-31 14:32:42 | fit | 2 | 14084 | 472 | 0.313 | 44996.8 |
1828 | 2023-10-26 01:49:43 | fit | 1 | 5146 | 32 | 0.096 | 53604.2 |
1827 | 2023-10-25 13:43:15 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1826 | 2023-10-20 07:43:45 | fit | 1 | 5146 | 32 | 0.173 | 29745.7 |
1825 | 2023-10-19 23:54:11 | fit | 2 | 14084 | 472 | 0.360 | 39122.2 |
1824 | 2023-10-19 07:41:44 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1823 | 2023-10-16 21:19:19 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1822 | 2023-10-12 04:21:50 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1821 | 2023-10-03 18:39:13 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1820 | 2023-09-20 23:58:59 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1819 | 2023-09-15 07:01:17 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1818 | 2023-09-14 00:41:38 | fit | 2 | 14084 | 472 | 0.360 | 39122.2 |
1817 | 2023-09-10 13:56:49 | fit | 1 | 5146 | 32 | 0.063 | 81682.5 |
1816 | 2023-09-06 01:38:05 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1815 | 2023-08-25 12:28:45 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1814 | 2023-08-25 11:59:57 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1813 | 2023-08-24 13:49:28 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1812 | 2023-08-24 13:27:13 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1811 | 2023-08-22 14:22:18 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1810 | 2023-08-22 13:55:06 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1809 | 2023-08-18 03:50:41 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1808 | 2023-08-16 01:40:33 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1807 | 2023-08-12 10:49:19 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1806 | 2023-05-18 06:07:40 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1805 | 2023-05-15 21:25:00 | fit | 1 | 5146 | 32 | 0.063 | 81682.5 |
1804 | 2023-03-31 14:38:51 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1803 | 2023-03-12 11:57:31 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1802 | 2023-03-11 03:10:05 | fit | 1 | 5146 | 32 | 0.063 | 81682.5 |
1801 | 2023-02-15 11:24:17 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1800 | 2023-01-01 01:12:49 | fit | 1 | 5146 | 32 | 0.063 | 81682.5 |
1799 | 2022-11-24 02:19:18 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1798 | 2022-11-19 23:53:16 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1797 | 2022-11-19 00:01:20 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1796 | 2022-11-12 07:59:37 | fit | 1 | 5146 | 32 | 0.063 | 81682.5 |
1795 | 2022-11-09 12:08:10 | fit | 1 | 5146 | 32 | 0.216 | 23824.1 |
1794 | 2022-10-26 16:50:25 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1793 | 2022-09-20 00:12:49 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1792 | 2022-09-19 04:02:13 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1791 | 2022-09-18 16:52:41 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1790 | 2022-09-17 09:05:38 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1789 | 2022-09-16 23:25:22 | fit | 2 | 14084 | 472 | 0.326 | 43202.5 |
1788 | 2022-09-14 13:08:48 | fit | 2 | 14084 | 472 | 0.330 | 42678.8 |
1787 | 2022-09-11 22:41:51 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1786 | 2022-09-03 14:59:06 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1785 | 2022-09-01 20:34:33 | fit | 2 | 14084 | 472 | 0.373 | 37758.7 |
1784 | 2022-08-28 07:47:53 | fit | 2 | 14084 | 472 | 0.330 | 42678.8 |
1783 | 2022-08-26 00:13:41 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1782 | 2022-08-25 18:42:41 | fit | 2 | 14084 | 472 | 0.640 | 22006.3 |
1781 | 2022-08-14 21:34:01 | fit | 2 | 14084 | 472 | 0.330 | 42678.8 |
1780 | 2022-08-14 11:54:47 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1779 | 2022-08-12 14:32:54 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1778 | 2022-08-06 17:05:44 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1777 | 2022-08-06 14:46:27 | fit | 2 | 14084 | 472 | 0.326 | 43202.5 |
1776 | 2022-07-29 22:10:19 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1775 | 2022-07-17 20:01:50 | fit | 1 | 5146 | 32 | 0.063 | 81682.5 |
1774 | 2022-07-03 05:23:50 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1773 | 2022-07-02 07:28:50 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1772 | 2022-06-25 15:37:27 | fit | 1 | 5146 | 32 | 0.063 | 81682.5 |
1771 | 2022-06-16 05:29:41 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1770 | 2022-06-15 18:34:55 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1769 | 2022-06-08 17:23:31 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1768 | 2022-06-08 13:20:37 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1767 | 2022-06-01 09:46:34 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1766 | 2022-05-26 06:33:32 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1765 | 2022-05-25 14:35:48 | fit | 1 | 5146 | 32 | 0.096 | 53604.2 |
1764 | 2022-05-10 05:06:56 | fit | 1 | 5146 | 32 | 0.063 | 81682.5 |
1763 | 2022-04-29 10:28:44 | fit | 1 | 5146 | 32 | 0.170 | 30270.6 |
1762 | 2022-04-28 09:15:34 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1761 | 2022-04-27 11:53:56 | fit | 1 | 5146 | 32 | 0.110 | 46781.8 |
1760 | 2022-04-26 09:25:46 | fit | 1 | 5146 | 32 | 0.110 | 46781.8 |
1759 | 2022-04-25 12:56:26 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1758 | 2022-04-24 17:24:16 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |