History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coats"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1869 | 2024-04-26 08:46:43 | coats | 1 | 28756 | 20 | 0.623 | 46157.3 |
1868 | 2024-04-15 16:10:03 | coats | 1 | 28756 | 20 | 1.656 | 17364.7 |
1867 | 2024-04-13 00:02:10 | coats | 1 | 28756 | 20 | 1.030 | 27918.4 |
1866 | 2024-04-11 10:59:27 | coats | 1 | 28756 | 20 | 0.516 | 55728.7 |
1865 | 2024-04-02 22:50:31 | coats | 2 | 53800 | 356 | 5.016 | 10725.7 |
1864 | 2024-04-02 20:57:30 | coats | 1 | 28756 | 20 | 0.516 | 55728.7 |
1863 | 2024-04-01 17:50:57 | coats | 1 | 28756 | 20 | 1.763 | 16310.8 |
1862 | 2024-03-31 01:10:17 | coats | 1 | 28756 | 20 | 1.170 | 24577.8 |
1861 | 2024-03-26 22:37:44 | coats | 1 | 28756 | 20 | 1.546 | 18600.3 |
1860 | 2024-03-26 08:06:18 | coats | 1 | 28756 | 20 | 0.516 | 55728.7 |
1859 | 2024-03-17 12:38:00 | coats | 1 | 28756 | 20 | 0.596 | 48248.3 |
1858 | 2024-03-16 10:12:28 | coats | 1 | 28756 | 20 | 0.593 | 48492.4 |
1857 | 2024-03-02 14:47:18 | coats | 1 | 28756 | 20 | 1.173 | 24514.9 |
1856 | 2024-03-02 08:27:01 | coats | 2 | 53800 | 356 | 3.686 | 14595.8 |
1855 | 2024-03-02 06:41:09 | coats | 2 | 53800 | 356 | 1.763 | 30516.2 |
1854 | 2024-02-25 18:38:35 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1853 | 2024-02-22 06:29:52 | coats | 2 | 53800 | 356 | 1.690 | 31834.3 |
1852 | 2024-02-19 06:08:44 | coats | 1 | 28756 | 20 | 0.596 | 48248.3 |
1851 | 2024-02-14 17:37:23 | coats | 1 | 28756 | 20 | 0.593 | 48492.4 |
1850 | 2024-01-26 03:15:33 | coats | 2 | 53800 | 356 | 3.483 | 15446.5 |
1849 | 2024-01-26 03:15:17 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1848 | 2024-01-26 00:22:31 | coats | 1 | 28756 | 20 | 1.046 | 27491.4 |
1847 | 2024-01-25 23:26:36 | coats | 1 | 28756 | 20 | 0.546 | 52666.7 |
1846 | 2024-01-15 10:00:59 | coats | 2 | 53800 | 356 | 1.423 | 37807.4 |
1845 | 2023-12-29 21:56:22 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1844 | 2023-12-28 13:45:08 | coats | 1 | 28756 | 20 | 0.906 | 31739.5 |
1843 | 2023-12-18 02:08:53 | coats | 1 | 28756 | 20 | 0.513 | 56054.6 |
1842 | 2023-12-14 20:11:53 | coats | 1 | 28756 | 20 | 0.516 | 55728.7 |
1841 | 2023-12-07 16:06:13 | coats | 1 | 28756 | 20 | 0.533 | 53951.2 |
1840 | 2023-12-07 16:06:12 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1839 | 2023-11-30 03:42:13 | coats | 2 | 53800 | 356 | 1.580 | 34050.6 |
1838 | 2023-11-22 18:18:13 | coats | 2 | 53800 | 356 | 1.656 | 32487.9 |
1837 | 2023-11-18 22:55:04 | coats | 2 | 53800 | 356 | 1.466 | 36698.5 |
1836 | 2023-11-18 22:16:56 | coats | 1 | 28756 | 20 | 0.436 | 65954.1 |
1835 | 2023-11-17 17:29:56 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1834 | 2023-11-08 16:59:56 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1833 | 2023-10-27 01:29:39 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1832 | 2023-10-22 02:52:33 | coats | 1 | 28756 | 20 | 0.530 | 54256.6 |
1831 | 2023-10-19 18:18:46 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1830 | 2023-10-18 22:46:26 | coats | 1 | 28756 | 20 | 0.546 | 52666.7 |
1829 | 2023-10-11 12:21:29 | coats | 1 | 28756 | 20 | 0.470 | 61183.0 |
1828 | 2023-10-05 14:36:19 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1827 | 2023-09-25 06:16:33 | coats | 1 | 28756 | 20 | 0.983 | 29253.3 |
1826 | 2023-09-14 10:06:53 | coats | 1 | 28756 | 20 | 0.530 | 54256.6 |
1825 | 2023-09-04 10:40:21 | coats | 1 | 28756 | 20 | 0.466 | 61708.2 |
1824 | 2023-09-01 04:29:57 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1823 | 2023-08-24 17:15:26 | coats | 2 | 53800 | 356 | 1.423 | 37807.4 |
1822 | 2023-08-23 02:11:18 | coats | 2 | 53800 | 356 | 1.406 | 38264.6 |
1821 | 2023-08-14 21:58:34 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1820 | 2023-08-09 21:52:50 | coats | 1 | 28756 | 20 | 0.516 | 55728.7 |
1819 | 2023-08-08 22:43:52 | coats | 1 | 28756 | 20 | 0.483 | 59536.2 |
1818 | 2023-08-04 12:38:07 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1817 | 2023-07-26 03:24:40 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1816 | 2023-06-28 03:31:50 | coats | 1 | 28756 | 20 | 0.546 | 52666.7 |
1815 | 2023-06-02 12:50:56 | coats | 2 | 53800 | 356 | 1.376 | 39098.8 |
1814 | 2023-05-28 17:16:25 | coats | 1 | 28756 | 20 | 0.483 | 59536.2 |
1813 | 2023-05-15 17:02:02 | coats | 1 | 28756 | 20 | 0.436 | 65954.1 |
1812 | 2023-05-09 17:20:51 | coats | 2 | 53800 | 356 | 1.406 | 38264.6 |
1811 | 2023-05-06 05:21:29 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1810 | 2023-04-29 17:13:20 | coats | 1 | 28756 | 20 | 0.436 | 65954.1 |
1809 | 2023-04-18 17:09:16 | coats | 2 | 53800 | 356 | 1.440 | 37361.1 |
1808 | 2023-03-31 12:27:07 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1807 | 2023-03-15 16:59:25 | coats | 1 | 28756 | 20 | 0.470 | 61183.0 |
1806 | 2023-03-11 16:13:41 | coats | 1 | 28756 | 20 | 0.876 | 32826.5 |
1805 | 2023-03-07 20:40:22 | coats | 1 | 28756 | 20 | 0.516 | 55728.7 |
1804 | 2023-02-22 18:23:30 | coats | 1 | 28756 | 20 | 0.436 | 65954.1 |
1803 | 2023-02-15 06:17:55 | coats | 2 | 53800 | 356 | 3.343 | 16093.3 |
1802 | 2023-01-23 07:35:17 | coats | 2 | 53800 | 356 | 1.516 | 35488.1 |
1801 | 2023-01-21 12:21:42 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1800 | 2023-01-15 09:40:51 | coats | 1 | 28756 | 20 | 0.876 | 32826.5 |
1799 | 2022-12-29 10:24:01 | coats | 1 | 28756 | 20 | 0.486 | 59168.7 |
1798 | 2022-12-27 10:54:01 | coats | 2 | 53800 | 356 | 1.390 | 38705.0 |
1797 | 2022-12-07 09:54:34 | coats | 1 | 28756 | 20 | 0.436 | 65954.1 |
1796 | 2022-12-01 10:26:50 | coats | 1 | 28756 | 20 | 0.436 | 65954.1 |
1795 | 2022-11-26 17:39:05 | coats | 2 | 53800 | 356 | 1.390 | 38705.0 |
1794 | 2022-11-23 13:24:41 | coats | 1 | 28756 | 20 | 0.533 | 53951.2 |
1793 | 2022-11-20 00:52:20 | coats | 1 | 28756 | 20 | 1.000 | 28756.0 |
1792 | 2022-11-18 23:11:51 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1791 | 2022-10-15 09:27:02 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1790 | 2022-09-18 19:54:58 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1789 | 2022-09-07 19:21:01 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1788 | 2022-09-02 06:56:14 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1787 | 2022-09-01 18:03:38 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1786 | 2022-09-01 11:46:52 | coats | 1 | 28756 | 20 | 0.890 | 32310.1 |
1785 | 2022-08-16 06:10:44 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1784 | 2022-07-18 04:05:26 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1783 | 2022-07-11 18:12:14 | coats | 1 | 28756 | 20 | 0.813 | 35370.2 |
1782 | 2022-07-04 05:36:01 | coats | 2 | 53800 | 356 | 1.406 | 38264.6 |
1781 | 2022-05-31 02:28:49 | coats | 1 | 28756 | 20 | 0.470 | 61183.0 |
1780 | 2022-05-24 13:29:11 | coats | 1 | 28756 | 20 | 0.470 | 61183.0 |
1779 | 2022-05-18 19:12:32 | coats | 1 | 28756 | 20 | 0.530 | 54256.6 |
1778 | 2022-05-18 08:26:06 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1777 | 2022-05-17 18:06:48 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1776 | 2022-05-17 00:22:05 | coats | 1 | 28756 | 20 | 0.733 | 39230.6 |
1775 | 2022-05-16 12:13:17 | coats | 1 | 28756 | 20 | 0.656 | 43835.4 |
1774 | 2022-05-15 22:46:30 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1773 | 2022-05-14 05:27:01 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1772 | 2022-05-13 22:26:42 | coats | 1 | 28756 | 20 | 0.640 | 44931.3 |
1771 | 2022-05-13 12:28:03 | coats | 1 | 28756 | 20 | 0.780 | 36866.7 |
1770 | 2022-05-12 14:19:24 | coats | 1 | 28756 | 20 | 0.533 | 53951.2 |