History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sets"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1973 | 2025-07-19 02:03:23 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
1972 | 2025-07-15 18:14:10 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
1971 | 2025-07-13 14:25:03 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1970 | 2025-07-12 06:57:17 | sets | 2 | 29872 | 546 | 1.860 | 16060.2 |
1969 | 2025-07-10 15:36:50 | sets | 2 | 29872 | 546 | 3.970 | 7524.4 |
1968 | 2025-07-09 14:13:18 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1967 | 2025-07-09 07:36:20 | sets | 1 | 13983 | 33 | 0.986 | 14181.5 |
1966 | 2025-07-07 10:46:06 | sets | 1 | 13983 | 33 | 1.643 | 8510.7 |
1965 | 2025-07-06 04:06:31 | sets | 1 | 13983 | 33 | 0.516 | 27098.8 |
1964 | 2025-07-03 06:59:53 | sets | 2 | 29872 | 546 | 4.360 | 6851.4 |
1963 | 2025-07-03 01:42:58 | sets | 1 | 13983 | 33 | 1.716 | 8148.6 |
1962 | 2025-07-03 00:26:00 | sets | 2 | 29872 | 546 | 4.890 | 6108.8 |
1961 | 2025-07-01 04:42:48 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1960 | 2025-07-01 03:33:22 | sets | 2 | 29872 | 546 | 2.326 | 12842.6 |
1959 | 2025-06-30 21:19:39 | sets | 1 | 13983 | 33 | 0.220 | 63559.1 |
1958 | 2025-06-30 15:40:13 | sets | 1 | 13983 | 33 | 0.923 | 15149.5 |
1957 | 2025-06-30 10:17:11 | sets | 1 | 13983 | 33 | 0.796 | 17566.6 |
1956 | 2025-06-29 08:16:58 | sets | 1 | 13983 | 33 | 0.216 | 64736.1 |
1955 | 2025-06-28 15:13:41 | sets | 1 | 13983 | 33 | 2.000 | 6991.5 |
1954 | 2025-06-25 22:20:47 | sets | 1 | 13983 | 33 | 0.546 | 25609.9 |
1953 | 2025-06-25 03:58:41 | sets | 1 | 13983 | 33 | 1.703 | 8210.8 |
1952 | 2025-06-20 13:03:41 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1951 | 2025-06-19 17:55:32 | sets | 1 | 13983 | 33 | 0.263 | 53167.3 |
1950 | 2025-06-18 06:54:55 | sets | 2 | 29872 | 546 | 4.250 | 7028.7 |
1949 | 2025-06-15 04:28:52 | sets | 2 | 29872 | 546 | 0.843 | 35435.3 |
1948 | 2025-06-13 18:35:04 | sets | 2 | 29872 | 546 | 0.860 | 34734.9 |
1947 | 2025-06-12 22:46:39 | sets | 1 | 13983 | 33 | 0.830 | 16847.0 |
1946 | 2025-06-12 14:46:57 | sets | 2 | 29872 | 546 | 3.626 | 8238.3 |
1945 | 2025-06-11 18:34:39 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1944 | 2025-06-11 14:37:20 | sets | 1 | 13983 | 33 | 0.893 | 15658.5 |
1943 | 2025-06-10 20:30:13 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1942 | 2025-06-09 00:18:48 | sets | 1 | 13983 | 33 | 0.263 | 53167.3 |
1941 | 2025-06-05 18:53:29 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1940 | 2025-06-04 16:50:16 | sets | 1 | 13983 | 33 | 0.720 | 19420.8 |
1939 | 2025-06-02 00:08:50 | sets | 2 | 29872 | 546 | 4.266 | 7002.3 |
1938 | 2025-06-01 14:23:18 | sets | 2 | 29872 | 546 | 4.720 | 6328.8 |
1937 | 2025-05-31 23:50:45 | sets | 1 | 13983 | 33 | 1.420 | 9847.2 |
1936 | 2025-05-31 23:29:12 | sets | 2 | 29872 | 546 | 6.203 | 4815.7 |
1935 | 2025-05-31 00:09:46 | sets | 1 | 13983 | 33 | 1.576 | 8872.5 |
1934 | 2025-05-29 14:36:05 | sets | 1 | 13983 | 33 | 0.783 | 17858.2 |
1933 | 2025-05-29 06:09:54 | sets | 2 | 29872 | 546 | 3.406 | 8770.4 |
1932 | 2025-05-28 23:36:07 | sets | 1 | 13983 | 33 | 1.046 | 13368.1 |
1931 | 2025-05-27 05:30:28 | sets | 1 | 13983 | 33 | 1.000 | 13983.0 |
1930 | 2025-05-26 21:46:09 | sets | 2 | 29872 | 546 | 5.016 | 5955.3 |
1929 | 2025-05-26 13:06:11 | sets | 2 | 29872 | 546 | 2.250 | 13276.4 |
1928 | 2025-05-26 12:54:40 | sets | 1 | 13983 | 33 | 0.626 | 22337.1 |
1927 | 2025-05-24 14:35:23 | sets | 2 | 29872 | 546 | 2.470 | 12093.9 |
1926 | 2025-05-24 03:18:04 | sets | 1 | 13983 | 33 | 0.970 | 14415.5 |
1925 | 2025-05-20 17:51:51 | sets | 2 | 29872 | 546 | 4.406 | 6779.8 |
1924 | 2025-05-20 13:48:55 | sets | 2 | 29872 | 546 | 4.580 | 6522.3 |
1923 | 2025-05-20 02:28:32 | sets | 2 | 29872 | 546 | 4.376 | 6826.3 |
1922 | 2025-05-19 10:00:09 | sets | 1 | 13983 | 33 | 0.220 | 63559.1 |
1921 | 2025-05-19 00:08:24 | sets | 2 | 29872 | 546 | 2.500 | 11948.8 |
1920 | 2025-05-16 04:27:34 | sets | 1 | 13983 | 33 | 1.393 | 10038.0 |
1919 | 2025-05-15 00:11:34 | sets | 1 | 13983 | 33 | 0.216 | 64736.1 |
1918 | 2025-05-12 10:38:57 | sets | 1 | 13983 | 33 | 1.673 | 8358.0 |
1917 | 2025-05-11 20:13:42 | sets | 1 | 13983 | 33 | 1.906 | 7336.3 |
1916 | 2025-05-11 15:50:28 | sets | 1 | 13983 | 33 | 0.530 | 26383.0 |
1915 | 2025-05-11 07:45:09 | sets | 1 | 13983 | 33 | 1.890 | 7398.4 |
1914 | 2025-05-07 13:39:00 | sets | 1 | 13983 | 33 | 0.280 | 49939.3 |
1913 | 2025-05-03 18:11:43 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1912 | 2025-05-03 13:13:59 | sets | 1 | 13983 | 33 | 1.016 | 13762.8 |
1911 | 2025-04-30 20:54:09 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
1910 | 2025-04-30 09:20:33 | sets | 1 | 13983 | 33 | 0.703 | 19890.5 |
1909 | 2025-04-30 00:07:10 | sets | 2 | 29872 | 546 | 6.280 | 4756.7 |
1908 | 2025-04-29 13:42:59 | sets | 1 | 13983 | 33 | 0.263 | 53167.3 |
1907 | 2025-04-27 14:27:22 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1906 | 2025-04-27 14:05:57 | sets | 1 | 13983 | 33 | 0.220 | 63559.1 |
1905 | 2025-04-26 22:20:18 | sets | 1 | 13983 | 33 | 0.486 | 28771.6 |
1904 | 2025-04-26 22:15:21 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
1903 | 2025-04-26 05:09:52 | sets | 1 | 13983 | 33 | 1.673 | 8358.0 |
1902 | 2025-04-19 17:41:54 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1901 | 2025-04-16 12:54:14 | sets | 2 | 29872 | 546 | 4.436 | 6734.0 |
1900 | 2025-04-14 16:29:47 | sets | 1 | 13983 | 33 | 0.970 | 14415.5 |
1899 | 2025-04-14 15:54:03 | sets | 1 | 13983 | 33 | 1.093 | 12793.2 |
1898 | 2025-04-14 02:18:17 | sets | 2 | 29872 | 546 | 4.530 | 6594.3 |
1897 | 2025-04-11 01:35:08 | sets | 2 | 29872 | 546 | 4.810 | 6210.4 |
1896 | 2025-04-09 20:20:55 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1895 | 2025-04-08 13:50:15 | sets | 2 | 29872 | 546 | 5.156 | 5793.6 |
1894 | 2025-04-07 13:23:24 | sets | 1 | 13983 | 33 | 1.313 | 10649.7 |
1893 | 2025-04-07 06:15:11 | sets | 1 | 13983 | 33 | 1.453 | 9623.5 |
1892 | 2025-03-30 18:12:22 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1891 | 2025-03-29 20:50:10 | sets | 1 | 13983 | 33 | 0.296 | 47239.9 |
1890 | 2025-03-29 11:52:44 | sets | 1 | 13983 | 33 | 1.393 | 10038.0 |
1889 | 2025-03-24 01:56:47 | sets | 1 | 13983 | 33 | 1.876 | 7453.6 |
1888 | 2025-03-21 17:43:22 | sets | 1 | 13983 | 33 | 0.890 | 15711.2 |
1887 | 2025-03-15 00:53:14 | sets | 2 | 29872 | 546 | 4.516 | 6614.7 |
1886 | 2025-03-14 23:34:18 | sets | 1 | 13983 | 33 | 0.703 | 19890.5 |
1885 | 2025-03-13 02:07:54 | sets | 1 | 13983 | 33 | 1.406 | 9945.2 |
1884 | 2025-03-10 11:21:56 | sets | 2 | 29872 | 546 | 6.736 | 4434.7 |
1883 | 2025-03-10 09:50:31 | sets | 2 | 29872 | 546 | 6.266 | 4767.3 |
1882 | 2025-03-10 08:30:32 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1881 | 2025-03-06 20:49:17 | sets | 2 | 29872 | 546 | 4.343 | 6878.2 |
1880 | 2025-03-06 18:51:48 | sets | 2 | 29872 | 546 | 2.236 | 13359.6 |
1879 | 2025-03-06 17:59:28 | sets | 1 | 13983 | 33 | 0.263 | 53167.3 |
1878 | 2025-03-05 18:24:01 | sets | 1 | 13983 | 33 | 1.970 | 7098.0 |
1877 | 2025-03-05 17:56:02 | sets | 1 | 13983 | 33 | 0.953 | 14672.6 |
1876 | 2025-02-26 01:44:25 | sets | 1 | 13983 | 33 | 1.486 | 9409.8 |
1875 | 2025-02-25 11:16:37 | sets | 1 | 13983 | 33 | 0.233 | 60012.9 |
1874 | 2025-02-23 03:29:52 | sets | 1 | 13983 | 33 | 0.313 | 44674.1 |