History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"highs"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1896 | 2025-08-29 01:52:51 | highs | 3 | 83667 | 1315 | 3.700 | 22612.7 |
1895 | 2025-08-10 18:47:19 | highs | 1 | 28756 | 7 | 1.406 | 20452.3 |
1894 | 2025-08-04 04:33:53 | highs | 3 | 83667 | 1315 | 16.280 | 5139.3 |
1893 | 2025-08-03 23:46:33 | highs | 3 | 83667 | 1315 | 19.576 | 4274.0 |
1892 | 2025-08-03 03:58:15 | highs | 3 | 83667 | 1315 | 20.126 | 4157.2 |
1891 | 2025-08-03 03:55:03 | highs | 2 | 53800 | 99 | 7.233 | 7438.1 |
1890 | 2025-07-31 06:23:39 | highs | 1 | 28756 | 7 | 0.486 | 59168.7 |
1889 | 2025-07-31 03:01:44 | highs | 1 | 28756 | 7 | 0.500 | 57512.0 |
1888 | 2025-07-26 18:47:45 | highs | 1 | 28756 | 7 | 1.033 | 27837.4 |
1887 | 2025-07-24 17:15:02 | highs | 1 | 28756 | 7 | 1.343 | 21411.8 |
1886 | 2025-07-24 02:43:55 | highs | 1 | 28756 | 7 | 2.310 | 12448.5 |
1885 | 2025-07-22 22:56:49 | highs | 1 | 28756 | 7 | 1.283 | 22413.1 |
1884 | 2025-07-22 20:11:27 | highs | 1 | 28756 | 7 | 1.203 | 23903.6 |
1883 | 2025-07-17 05:59:40 | highs | 1 | 28756 | 7 | 1.080 | 26625.9 |
1882 | 2025-07-16 04:37:25 | highs | 1 | 28756 | 7 | 3.280 | 8767.1 |
1881 | 2025-07-10 20:03:35 | highs | 2 | 53800 | 99 | 11.093 | 4849.9 |
1880 | 2025-07-10 15:36:26 | highs | 3 | 83667 | 1315 | 9.826 | 8514.9 |
1879 | 2025-07-09 16:45:21 | highs | 1 | 28756 | 7 | 0.500 | 57512.0 |
1878 | 2025-07-07 17:44:59 | highs | 2 | 53800 | 99 | 4.063 | 13241.4 |
1877 | 2025-07-04 17:46:51 | highs | 1 | 28756 | 7 | 2.296 | 12524.4 |
1876 | 2025-07-01 22:42:48 | highs | 1 | 28756 | 7 | 2.296 | 12524.4 |
1875 | 2025-06-30 02:49:14 | highs | 1 | 28756 | 7 | 2.330 | 12341.6 |
1874 | 2025-06-14 10:56:11 | highs | 3 | 83667 | 1315 | 15.610 | 5359.8 |
1873 | 2025-06-14 03:32:08 | highs | 1 | 28756 | 7 | 3.796 | 7575.3 |
1872 | 2025-06-14 00:16:48 | highs | 3 | 83667 | 1315 | 9.780 | 8554.9 |
1871 | 2025-06-13 23:53:12 | highs | 1 | 28756 | 7 | 2.750 | 10456.7 |
1870 | 2025-06-11 23:02:04 | highs | 3 | 83667 | 1315 | 34.303 | 2439.1 |
1869 | 2025-06-11 21:47:26 | highs | 3 | 83667 | 1315 | 19.390 | 4315.0 |
1868 | 2025-06-10 14:11:20 | highs | 2 | 53800 | 99 | 4.220 | 12748.8 |
1867 | 2025-06-10 06:59:48 | highs | 3 | 83667 | 1315 | 19.846 | 4215.8 |
1866 | 2025-06-09 15:55:07 | highs | 1 | 28756 | 7 | 0.516 | 55728.7 |
1865 | 2025-06-07 21:52:24 | highs | 2 | 53800 | 99 | 11.530 | 4666.1 |
1864 | 2025-06-05 16:26:51 | highs | 2 | 53800 | 99 | 2.640 | 20378.8 |
1863 | 2025-06-03 23:03:07 | highs | 2 | 53800 | 99 | 10.140 | 5305.7 |
1862 | 2025-06-03 17:19:57 | highs | 1 | 28756 | 7 | 1.080 | 26625.9 |
1861 | 2025-06-01 22:02:07 | highs | 1 | 28756 | 7 | 1.376 | 20898.3 |
1860 | 2025-06-01 19:19:42 | highs | 1 | 28756 | 7 | 0.500 | 57512.0 |
1859 | 2025-06-01 10:24:56 | highs | 1 | 28756 | 7 | 1.436 | 20025.1 |
1858 | 2025-06-01 10:12:21 | highs | 1 | 28756 | 7 | 0.453 | 63479.0 |
1857 | 2025-05-31 02:10:55 | highs | 1 | 28756 | 7 | 2.266 | 12690.2 |
1856 | 2025-05-30 11:49:13 | highs | 1 | 28756 | 7 | 2.830 | 10161.1 |
1855 | 2025-05-29 00:07:11 | highs | 1 | 28756 | 7 | 2.170 | 13251.6 |
1854 | 2025-05-14 04:34:29 | highs | 1 | 28756 | 7 | 0.986 | 29164.3 |
1853 | 2025-05-13 23:34:42 | highs | 1 | 28756 | 7 | 3.703 | 7765.6 |
1852 | 2025-05-12 10:45:58 | highs | 3 | 83667 | 1315 | 14.780 | 5660.8 |
1851 | 2025-05-11 21:58:44 | highs | 3 | 83667 | 1315 | 13.296 | 6292.6 |
1850 | 2025-05-10 23:04:06 | highs | 3 | 83667 | 1315 | 20.626 | 4056.4 |
1849 | 2025-05-10 06:51:11 | highs | 3 | 83667 | 1315 | 18.360 | 4557.0 |
1848 | 2025-05-09 16:14:00 | highs | 1 | 28756 | 7 | 0.530 | 54256.6 |
1847 | 2025-05-06 10:22:27 | highs | 1 | 28756 | 7 | 1.813 | 15861.0 |
1846 | 2025-05-05 22:28:27 | highs | 1 | 28756 | 7 | 2.343 | 12273.2 |
1845 | 2025-05-01 21:56:38 | highs | 1 | 28756 | 7 | 2.346 | 12257.5 |
1844 | 2025-04-30 02:12:05 | highs | 1 | 28756 | 7 | 2.703 | 10638.5 |
1843 | 2025-04-27 21:35:27 | highs | 2 | 53800 | 99 | 4.610 | 11670.3 |
1842 | 2025-04-27 17:11:32 | highs | 1 | 28756 | 7 | 0.483 | 59536.2 |
1841 | 2025-04-26 13:47:52 | highs | 2 | 53800 | 99 | 9.406 | 5719.8 |
1840 | 2025-04-23 14:34:24 | highs | 2 | 53800 | 99 | 1.516 | 35488.1 |
1839 | 2025-04-19 20:08:15 | highs | 1 | 28756 | 7 | 2.360 | 12184.7 |
1838 | 2025-04-15 22:26:02 | highs | 3 | 83667 | 1315 | 20.253 | 4131.1 |
1837 | 2025-04-15 06:55:54 | highs | 3 | 83667 | 1315 | 4.453 | 18788.9 |
1836 | 2025-04-15 06:37:08 | highs | 3 | 83667 | 1315 | 3.266 | 25617.6 |
1835 | 2025-04-11 14:14:48 | highs | 2 | 53800 | 99 | 7.000 | 7685.7 |
1834 | 2025-04-10 19:56:18 | highs | 3 | 83667 | 1315 | 5.640 | 14834.6 |
1833 | 2025-04-09 23:27:22 | highs | 1 | 28756 | 7 | 0.533 | 53951.2 |
1832 | 2025-04-04 16:19:10 | highs | 1 | 28756 | 7 | 1.206 | 23844.1 |
1831 | 2025-04-03 03:19:14 | highs | 3 | 83667 | 1315 | 4.030 | 20761.0 |
1830 | 2025-04-01 22:52:44 | highs | 3 | 83667 | 1315 | 23.436 | 3570.0 |
1829 | 2025-04-01 12:20:56 | highs | 3 | 83667 | 1315 | 4.093 | 20441.5 |
1828 | 2025-04-01 03:30:20 | highs | 1 | 28756 | 7 | 0.453 | 63479.0 |
1827 | 2025-03-30 23:05:49 | highs | 3 | 83667 | 1315 | 17.406 | 4806.8 |
1826 | 2025-03-30 22:56:14 | highs | 1 | 28756 | 7 | 3.343 | 8601.9 |
1825 | 2025-03-25 05:04:38 | highs | 3 | 83667 | 1315 | 32.110 | 2605.6 |
1824 | 2025-03-15 14:22:37 | highs | 1 | 28756 | 7 | 1.313 | 21901.0 |
1823 | 2025-03-15 00:50:27 | highs | 3 | 83667 | 1315 | 21.316 | 3925.1 |
1822 | 2025-03-14 22:56:26 | highs | 1 | 28756 | 7 | 1.250 | 23004.8 |
1821 | 2025-03-12 20:50:20 | highs | 1 | 28756 | 7 | 2.390 | 12031.8 |
1820 | 2025-03-12 16:44:27 | highs | 3 | 83667 | 1315 | 8.016 | 10437.5 |
1819 | 2025-03-10 09:42:47 | highs | 2 | 53800 | 99 | 7.030 | 7652.9 |
1818 | 2025-03-10 08:32:26 | highs | 1 | 28756 | 7 | 0.500 | 57512.0 |
1817 | 2025-03-10 03:25:17 | highs | 1 | 28756 | 7 | 2.173 | 13233.3 |
1816 | 2025-03-09 17:49:33 | highs | 2 | 53800 | 99 | 7.703 | 6984.3 |
1815 | 2025-03-08 08:55:19 | highs | 2 | 53800 | 99 | 8.123 | 6623.2 |
1814 | 2025-03-07 22:49:31 | highs | 2 | 53800 | 99 | 4.076 | 13199.2 |
1813 | 2025-03-04 20:48:19 | highs | 2 | 53800 | 99 | 7.810 | 6888.6 |
1812 | 2025-03-04 20:47:51 | highs | 1 | 28756 | 7 | 3.406 | 8442.7 |
1811 | 2025-03-04 16:15:28 | highs | 3 | 83667 | 1315 | 20.063 | 4170.2 |
1810 | 2025-03-02 00:48:11 | highs | 3 | 83667 | 1315 | 27.406 | 3052.9 |
1809 | 2025-02-28 03:05:06 | highs | 3 | 83667 | 1315 | 23.376 | 3579.2 |
1808 | 2025-02-28 03:05:04 | highs | 2 | 53800 | 99 | 7.813 | 6886.0 |
1807 | 2025-02-28 03:05:02 | highs | 1 | 28756 | 7 | 3.203 | 8977.8 |
1806 | 2025-02-25 17:55:19 | highs | 3 | 83667 | 1315 | 23.190 | 3607.9 |
1805 | 2025-02-24 14:26:49 | highs | 3 | 83667 | 1315 | 14.393 | 5813.0 |
1804 | 2025-02-24 10:51:14 | highs | 3 | 83667 | 1315 | 18.673 | 4480.6 |
1803 | 2025-02-24 04:01:00 | highs | 1 | 28756 | 7 | 2.436 | 11804.6 |
1802 | 2025-02-07 06:25:18 | highs | 1 | 28756 | 7 | 0.983 | 29253.3 |
1801 | 2025-02-01 06:48:24 | highs | 1 | 28756 | 7 | 3.186 | 9025.7 |
1800 | 2025-01-31 14:49:11 | highs | 3 | 83667 | 1315 | 18.890 | 4429.2 |
1799 | 2025-01-30 14:12:35 | highs | 3 | 83667 | 1315 | 17.173 | 4872.0 |
1798 | 2025-01-30 14:12:22 | highs | 2 | 53800 | 99 | 8.033 | 6697.4 |
1797 | 2025-01-28 23:25:09 | highs | 3 | 83667 | 1315 | 16.970 | 4930.3 |