History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cubs"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1880 | 2026-02-08 19:07:45 | cubs | 1 | 13983 | 24 | 0.530 | 26383.0 |
| 1879 | 2026-02-08 14:49:25 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1878 | 2026-02-08 06:40:30 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1877 | 2026-02-07 22:41:21 | cubs | 1 | 13983 | 24 | 0.283 | 49409.9 |
| 1876 | 2026-02-07 17:00:54 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1875 | 2026-02-06 23:44:49 | cubs | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1874 | 2026-02-04 22:26:43 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1873 | 2026-02-04 05:44:25 | cubs | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1872 | 2026-02-03 21:42:40 | cubs | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1871 | 2026-02-03 14:52:57 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1870 | 2026-02-03 04:56:30 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1869 | 2026-02-02 20:36:09 | cubs | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1868 | 2026-02-02 07:16:12 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1867 | 2026-02-01 09:15:56 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1866 | 2026-02-01 04:47:58 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1865 | 2026-01-31 09:27:10 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1864 | 2026-01-31 02:59:28 | cubs | 1 | 13983 | 24 | 0.500 | 27966.0 |
| 1863 | 2026-01-29 06:50:33 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1862 | 2026-01-29 00:42:17 | cubs | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1861 | 2026-01-28 21:44:31 | cubs | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1860 | 2026-01-28 19:03:30 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1859 | 2026-01-28 11:07:56 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1858 | 2026-01-28 07:36:45 | cubs | 1 | 13983 | 24 | 0.483 | 28950.3 |
| 1857 | 2026-01-28 00:45:54 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1856 | 2026-01-27 16:58:45 | cubs | 1 | 13983 | 24 | 0.686 | 20383.4 |
| 1855 | 2026-01-27 16:48:55 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1854 | 2026-01-27 12:25:08 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1853 | 2026-01-26 16:12:47 | cubs | 1 | 13983 | 24 | 0.486 | 28771.6 |
| 1852 | 2026-01-22 09:03:56 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1851 | 2026-01-22 06:58:50 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1850 | 2026-01-06 21:59:24 | cubs | 1 | 13983 | 24 | 0.950 | 14718.9 |
| 1849 | 2026-01-05 13:13:33 | cubs | 1 | 13983 | 24 | 0.500 | 27966.0 |
| 1848 | 2026-01-05 13:12:05 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1847 | 2025-12-29 01:23:40 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1846 | 2025-12-28 17:20:49 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1845 | 2025-12-28 12:22:37 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1844 | 2025-12-21 17:25:56 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1843 | 2025-12-21 10:01:21 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1842 | 2025-12-18 19:00:41 | cubs | 1 | 13983 | 24 | 1.436 | 9737.5 |
| 1841 | 2025-12-18 19:00:35 | cubs | 1 | 13983 | 24 | 1.033 | 13536.3 |
| 1840 | 2025-12-18 09:32:51 | cubs | 1 | 13983 | 24 | 0.263 | 53167.3 |
| 1839 | 2025-12-14 14:50:06 | cubs | 1 | 13983 | 24 | 0.530 | 26383.0 |
| 1838 | 2025-12-05 06:31:19 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1837 | 2025-12-02 00:37:21 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1836 | 2025-11-28 14:28:13 | cubs | 1 | 13983 | 24 | 0.516 | 27098.8 |
| 1835 | 2025-11-28 10:53:11 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1834 | 2025-11-26 20:01:48 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1833 | 2025-11-26 15:46:47 | cubs | 1 | 13983 | 24 | 0.500 | 27966.0 |
| 1832 | 2025-11-24 15:18:36 | cubs | 1 | 13983 | 24 | 1.516 | 9223.6 |
| 1831 | 2025-11-23 08:12:00 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1830 | 2025-11-22 15:57:19 | cubs | 2 | 29872 | 311 | 1.546 | 19322.1 |
| 1829 | 2025-11-18 05:02:58 | cubs | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1828 | 2025-11-17 03:48:40 | cubs | 1 | 13983 | 24 | 0.513 | 27257.3 |
| 1827 | 2025-11-16 04:42:24 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1826 | 2025-11-16 02:09:40 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1825 | 2025-11-14 18:37:22 | cubs | 1 | 13983 | 24 | 0.500 | 27966.0 |
| 1824 | 2025-11-14 09:30:04 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1823 | 2025-11-14 04:01:57 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1822 | 2025-11-13 16:33:13 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1821 | 2025-11-13 14:07:38 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1820 | 2025-11-13 06:03:54 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1819 | 2025-11-13 00:35:16 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1818 | 2025-11-12 20:08:07 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1817 | 2025-11-10 20:24:28 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1816 | 2025-11-10 17:02:32 | cubs | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1815 | 2025-11-03 21:38:55 | cubs | 1 | 13983 | 24 | 0.280 | 49939.3 |
| 1814 | 2025-11-02 18:40:47 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1813 | 2025-11-02 00:38:47 | cubs | 1 | 13983 | 24 | 0.813 | 17199.3 |
| 1812 | 2025-10-28 12:54:48 | cubs | 1 | 13983 | 24 | 0.236 | 59250.0 |
| 1811 | 2025-10-26 21:09:25 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1810 | 2025-10-25 16:46:21 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1809 | 2025-10-25 15:27:55 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1808 | 2025-10-17 05:06:19 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1807 | 2025-10-15 05:34:48 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1806 | 2025-10-15 03:05:48 | cubs | 1 | 13983 | 24 | 0.220 | 63559.1 |
| 1805 | 2025-10-12 20:57:38 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1804 | 2025-10-11 01:06:43 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1803 | 2025-09-28 12:01:46 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1802 | 2025-09-21 16:46:10 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1801 | 2025-09-20 02:37:42 | cubs | 1 | 13983 | 24 | 0.453 | 30867.5 |
| 1800 | 2025-09-19 09:07:21 | cubs | 2 | 29872 | 311 | 0.890 | 33564.0 |
| 1799 | 2025-09-18 18:18:11 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1798 | 2025-09-18 01:11:27 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1797 | 2025-09-17 18:38:52 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1796 | 2025-09-16 17:37:11 | cubs | 2 | 29872 | 311 | 0.860 | 34734.9 |
| 1795 | 2025-09-15 06:18:58 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1794 | 2025-09-14 17:18:31 | cubs | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1793 | 2025-09-11 22:59:41 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1792 | 2025-09-11 20:57:36 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1791 | 2025-09-11 18:19:08 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1790 | 2025-09-11 18:18:53 | cubs | 1 | 13983 | 24 | 0.266 | 52567.7 |
| 1789 | 2025-09-11 09:21:30 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1788 | 2025-09-08 02:21:59 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1787 | 2025-09-07 03:13:18 | cubs | 1 | 13983 | 24 | 0.216 | 64736.1 |
| 1786 | 2025-09-04 19:22:35 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1785 | 2025-09-01 12:01:51 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1784 | 2025-08-30 15:43:42 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |
| 1783 | 2025-08-29 04:24:20 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1782 | 2025-08-28 11:58:22 | cubs | 1 | 13983 | 24 | 0.250 | 55932.0 |
| 1781 | 2025-08-26 20:49:16 | cubs | 1 | 13983 | 24 | 0.233 | 60012.9 |