History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"bits"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1886 | 2025-09-12 06:01:58 | bits | 2 | 29872 | 529 | 1.093 | 27330.3 |
1885 | 2025-09-12 05:47:05 | bits | 2 | 29872 | 529 | 0.876 | 34100.5 |
1884 | 2025-09-12 01:07:57 | bits | 1 | 13983 | 36 | 0.233 | 60012.9 |
1883 | 2025-09-07 21:32:04 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
1882 | 2025-09-04 05:20:31 | bits | 2 | 29872 | 529 | 0.766 | 38997.4 |
1881 | 2025-09-04 03:35:51 | bits | 2 | 29872 | 529 | 0.846 | 35309.7 |
1880 | 2025-09-01 03:17:07 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
1879 | 2025-08-31 10:59:59 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
1878 | 2025-08-26 17:57:21 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
1877 | 2025-08-26 03:09:34 | bits | 1 | 13983 | 36 | 0.220 | 63559.1 |
1876 | 2025-08-25 09:56:19 | bits | 1 | 13983 | 36 | 1.186 | 11790.1 |
1875 | 2025-08-19 11:05:48 | bits | 1 | 13983 | 36 | 0.966 | 14475.2 |
1874 | 2025-08-12 14:56:24 | bits | 1 | 13983 | 36 | 0.906 | 15433.8 |
1873 | 2025-08-10 06:25:07 | bits | 1 | 13983 | 36 | 1.076 | 12995.4 |
1872 | 2025-08-09 12:34:02 | bits | 1 | 13983 | 36 | 0.733 | 19076.4 |
1871 | 2025-08-05 22:53:19 | bits | 2 | 29872 | 529 | 1.953 | 15295.4 |
1870 | 2025-08-05 19:31:41 | bits | 2 | 29872 | 529 | 3.126 | 9556.0 |
1869 | 2025-08-05 01:07:02 | bits | 2 | 29872 | 529 | 1.953 | 15295.4 |
1868 | 2025-08-04 08:43:28 | bits | 2 | 29872 | 529 | 5.470 | 5461.1 |
1867 | 2025-08-04 07:04:56 | bits | 1 | 13983 | 36 | 0.596 | 23461.4 |
1866 | 2025-08-04 06:06:59 | bits | 1 | 13983 | 36 | 0.266 | 52567.7 |
1865 | 2025-08-03 21:08:06 | bits | 1 | 13983 | 36 | 0.686 | 20383.4 |
1864 | 2025-08-03 09:33:50 | bits | 1 | 13983 | 36 | 0.236 | 59250.0 |
1863 | 2025-08-03 00:18:56 | bits | 2 | 29872 | 529 | 1.890 | 15805.3 |
1862 | 2025-07-31 14:00:24 | bits | 1 | 13983 | 36 | 1.440 | 9710.4 |
1861 | 2025-07-31 12:10:47 | bits | 1 | 13983 | 36 | 0.500 | 27966.0 |
1860 | 2025-07-26 06:55:30 | bits | 1 | 13983 | 36 | 0.673 | 20777.1 |
1859 | 2025-07-25 04:26:23 | bits | 1 | 13983 | 36 | 1.440 | 9710.4 |
1858 | 2025-07-24 09:58:50 | bits | 1 | 13983 | 36 | 1.360 | 10281.6 |
1857 | 2025-07-21 12:58:42 | bits | 1 | 13983 | 36 | 0.610 | 22923.0 |
1856 | 2025-07-17 14:26:59 | bits | 1 | 13983 | 36 | 1.280 | 10924.2 |
1855 | 2025-07-12 11:01:01 | bits | 1 | 13983 | 36 | 0.263 | 53167.3 |
1854 | 2025-07-09 00:46:10 | bits | 1 | 13983 | 36 | 1.540 | 9079.9 |
1853 | 2025-07-08 12:18:52 | bits | 1 | 13983 | 36 | 0.690 | 20265.2 |
1852 | 2025-07-02 06:07:24 | bits | 1 | 13983 | 36 | 0.686 | 20383.4 |
1851 | 2025-06-30 12:44:16 | bits | 1 | 13983 | 36 | 1.313 | 10649.7 |
1850 | 2025-06-29 19:10:18 | bits | 1 | 13983 | 36 | 0.266 | 52567.7 |
1849 | 2025-06-29 16:17:59 | bits | 1 | 13983 | 36 | 0.840 | 16646.4 |
1848 | 2025-06-29 13:45:19 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
1847 | 2025-06-17 17:07:22 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
1846 | 2025-06-15 18:15:38 | bits | 1 | 13983 | 36 | 0.500 | 27966.0 |
1845 | 2025-06-10 08:49:40 | bits | 2 | 29872 | 529 | 4.516 | 6614.7 |
1844 | 2025-06-08 03:21:19 | bits | 2 | 29872 | 529 | 4.330 | 6898.8 |
1843 | 2025-06-08 02:37:12 | bits | 2 | 29872 | 529 | 3.923 | 7614.6 |
1842 | 2025-06-07 11:37:24 | bits | 1 | 13983 | 36 | 0.313 | 44674.1 |
1841 | 2025-06-07 07:47:43 | bits | 2 | 29872 | 529 | 4.110 | 7268.1 |
1840 | 2025-06-06 21:44:04 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
1839 | 2025-06-05 22:43:55 | bits | 2 | 29872 | 529 | 4.576 | 6528.0 |
1838 | 2025-06-05 08:50:38 | bits | 1 | 13983 | 36 | 0.656 | 21315.5 |
1837 | 2025-06-03 23:38:54 | bits | 1 | 13983 | 36 | 1.343 | 10411.8 |
1836 | 2025-05-30 13:02:32 | bits | 1 | 13983 | 36 | 1.516 | 9223.6 |
1835 | 2025-05-29 13:54:16 | bits | 1 | 13983 | 36 | 0.956 | 14626.6 |
1834 | 2025-05-29 13:49:07 | bits | 1 | 13983 | 36 | 1.233 | 11340.6 |
1833 | 2025-05-26 16:58:18 | bits | 1 | 13983 | 36 | 0.580 | 24108.6 |
1832 | 2025-05-23 09:44:09 | bits | 1 | 13983 | 36 | 0.236 | 59250.0 |
1831 | 2025-05-23 09:34:35 | bits | 1 | 13983 | 36 | 1.123 | 12451.5 |
1830 | 2025-05-21 16:03:09 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
1829 | 2025-05-16 10:40:44 | bits | 1 | 13983 | 36 | 1.733 | 8068.7 |
1828 | 2025-05-16 02:41:08 | bits | 2 | 29872 | 529 | 2.813 | 10619.3 |
1827 | 2025-05-15 10:22:30 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
1826 | 2025-05-08 01:06:16 | bits | 2 | 29872 | 529 | 4.483 | 6663.4 |
1825 | 2025-05-07 12:06:23 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
1824 | 2025-05-02 13:55:12 | bits | 2 | 29872 | 529 | 6.376 | 4685.1 |
1823 | 2025-04-30 12:28:02 | bits | 1 | 13983 | 36 | 1.373 | 10184.3 |
1822 | 2025-04-30 03:03:11 | bits | 2 | 29872 | 529 | 4.423 | 6753.8 |
1821 | 2025-04-28 09:00:30 | bits | 2 | 29872 | 529 | 1.906 | 15672.6 |
1820 | 2025-04-28 05:25:27 | bits | 1 | 13983 | 36 | 1.406 | 9945.2 |
1819 | 2025-04-27 13:52:20 | bits | 1 | 13983 | 36 | 0.390 | 35853.8 |
1818 | 2025-04-27 06:58:15 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
1817 | 2025-04-25 12:58:00 | bits | 1 | 13983 | 36 | 0.216 | 64736.1 |
1816 | 2025-04-24 06:59:11 | bits | 1 | 13983 | 36 | 0.706 | 19805.9 |
1815 | 2025-04-23 08:41:36 | bits | 1 | 13983 | 36 | 0.970 | 14415.5 |
1814 | 2025-04-17 06:59:19 | bits | 1 | 13983 | 36 | 0.236 | 59250.0 |
1813 | 2025-04-15 10:12:46 | bits | 1 | 13983 | 36 | 0.203 | 68881.8 |
1812 | 2025-04-14 10:31:56 | bits | 1 | 13983 | 36 | 1.170 | 11951.3 |
1811 | 2025-04-12 09:22:21 | bits | 1 | 13983 | 36 | 2.063 | 6778.0 |
1810 | 2025-04-07 07:41:16 | bits | 2 | 29872 | 529 | 7.063 | 4229.4 |
1809 | 2025-04-07 04:37:30 | bits | 1 | 13983 | 36 | 1.343 | 10411.8 |
1808 | 2025-04-06 11:56:26 | bits | 1 | 13983 | 36 | 0.733 | 19076.4 |
1807 | 2025-04-01 14:49:51 | bits | 1 | 13983 | 36 | 0.970 | 14415.5 |
1806 | 2025-03-31 16:22:22 | bits | 2 | 29872 | 529 | 4.016 | 7438.2 |
1805 | 2025-03-29 00:50:32 | bits | 2 | 29872 | 529 | 3.233 | 9239.7 |
1804 | 2025-03-28 06:27:16 | bits | 1 | 13983 | 36 | 0.610 | 22923.0 |
1803 | 2025-03-19 04:00:05 | bits | 2 | 29872 | 529 | 0.843 | 35435.3 |
1802 | 2025-03-19 03:52:21 | bits | 2 | 29872 | 529 | 0.843 | 35435.3 |
1801 | 2025-03-18 08:24:36 | bits | 2 | 29872 | 529 | 3.906 | 7647.7 |
1800 | 2025-03-18 07:12:15 | bits | 2 | 29872 | 529 | 3.986 | 7494.2 |
1799 | 2025-03-18 06:19:34 | bits | 2 | 29872 | 529 | 5.266 | 5672.6 |
1798 | 2025-03-15 21:56:00 | bits | 1 | 13983 | 36 | 1.326 | 10545.2 |
1797 | 2025-03-14 21:20:28 | bits | 1 | 13983 | 36 | 0.486 | 28771.6 |
1796 | 2025-03-13 14:38:09 | bits | 1 | 13983 | 36 | 1.640 | 8526.2 |
1795 | 2025-03-10 10:56:36 | bits | 1 | 13983 | 36 | 0.670 | 20870.1 |
1794 | 2025-03-09 17:11:18 | bits | 1 | 13983 | 36 | 0.593 | 23580.1 |
1793 | 2025-03-06 11:38:04 | bits | 1 | 13983 | 36 | 1.653 | 8459.2 |
1792 | 2025-02-25 06:55:40 | bits | 2 | 29872 | 529 | 6.000 | 4978.7 |
1791 | 2025-02-25 05:45:17 | bits | 2 | 29872 | 529 | 2.076 | 14389.2 |
1790 | 2025-02-24 10:01:20 | bits | 1 | 13983 | 36 | 0.250 | 55932.0 |
1789 | 2025-02-22 19:56:40 | bits | 1 | 13983 | 36 | 2.360 | 5925.0 |
1788 | 2025-02-19 04:15:35 | bits | 1 | 13983 | 36 | 1.266 | 11045.0 |
1787 | 2025-02-19 00:17:55 | bits | 1 | 13983 | 36 | 1.813 | 7712.6 |