History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"loses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1972 | 2025-07-28 18:54:03 | loses | 2 | 53800 | 426 | 4.283 | 12561.3 |
1971 | 2025-07-27 02:48:46 | loses | 1 | 28756 | 30 | 1.046 | 27491.4 |
1970 | 2025-07-27 01:52:11 | loses | 1 | 28756 | 30 | 3.376 | 8517.8 |
1969 | 2025-07-26 01:00:16 | loses | 2 | 53800 | 426 | 1.703 | 31591.3 |
1968 | 2025-07-24 06:07:46 | loses | 1 | 28756 | 30 | 1.283 | 22413.1 |
1967 | 2025-07-23 15:10:07 | loses | 1 | 28756 | 30 | 2.936 | 9794.3 |
1966 | 2025-07-22 11:19:18 | loses | 1 | 28756 | 30 | 1.360 | 21144.1 |
1965 | 2025-07-19 01:06:27 | loses | 1 | 28756 | 30 | 0.453 | 63479.0 |
1964 | 2025-07-17 16:57:09 | loses | 1 | 28756 | 30 | 2.623 | 10963.0 |
1963 | 2025-07-17 14:43:36 | loses | 1 | 28756 | 30 | 1.296 | 22188.3 |
1962 | 2025-07-10 23:12:33 | loses | 1 | 28756 | 30 | 1.170 | 24577.8 |
1961 | 2025-07-03 04:47:14 | loses | 1 | 28756 | 30 | 1.030 | 27918.4 |
1960 | 2025-07-02 12:25:35 | loses | 1 | 28756 | 30 | 0.813 | 35370.2 |
1959 | 2025-06-30 08:10:55 | loses | 1 | 28756 | 30 | 2.063 | 13938.9 |
1958 | 2025-06-29 00:10:07 | loses | 1 | 28756 | 30 | 2.313 | 12432.3 |
1957 | 2025-06-22 17:57:13 | loses | 2 | 53800 | 426 | 8.346 | 6446.2 |
1956 | 2025-06-22 16:24:04 | loses | 2 | 53800 | 426 | 7.826 | 6874.5 |
1955 | 2025-06-20 20:50:08 | loses | 2 | 53800 | 426 | 11.376 | 4729.3 |
1954 | 2025-06-19 08:27:50 | loses | 2 | 53800 | 426 | 8.763 | 6139.4 |
1953 | 2025-06-16 10:23:37 | loses | 1 | 28756 | 30 | 3.326 | 8645.8 |
1952 | 2025-06-09 19:58:30 | loses | 1 | 28756 | 30 | 2.813 | 10222.5 |
1951 | 2025-06-04 14:37:20 | loses | 1 | 28756 | 30 | 2.986 | 9630.3 |
1950 | 2025-06-02 11:40:58 | loses | 1 | 28756 | 30 | 1.156 | 24875.4 |
1949 | 2025-06-01 05:04:08 | loses | 1 | 28756 | 30 | 1.216 | 23648.0 |
1948 | 2025-05-31 09:45:43 | loses | 1 | 28756 | 30 | 2.470 | 11642.1 |
1947 | 2025-05-30 13:23:59 | loses | 1 | 28756 | 30 | 2.703 | 10638.5 |
1946 | 2025-05-16 23:35:12 | loses | 1 | 28756 | 30 | 0.530 | 54256.6 |
1945 | 2025-05-16 11:34:11 | loses | 1 | 28756 | 30 | 3.110 | 9246.3 |
1944 | 2025-05-11 03:16:24 | loses | 1 | 28756 | 30 | 2.610 | 11017.6 |
1943 | 2025-05-10 18:37:25 | loses | 2 | 53800 | 426 | 7.626 | 7054.8 |
1942 | 2025-05-09 06:31:32 | loses | 2 | 53800 | 426 | 1.766 | 30464.3 |
1941 | 2025-05-08 17:38:24 | loses | 2 | 53800 | 426 | 8.296 | 6485.1 |
1940 | 2025-05-08 12:40:25 | loses | 2 | 53800 | 426 | 4.796 | 11217.7 |
1939 | 2025-05-08 07:53:06 | loses | 2 | 53800 | 426 | 16.720 | 3217.7 |
1938 | 2025-05-08 06:06:58 | loses | 1 | 28756 | 30 | 3.830 | 7508.1 |
1937 | 2025-05-08 06:03:49 | loses | 1 | 28756 | 30 | 2.953 | 9737.9 |
1936 | 2025-05-06 08:03:03 | loses | 2 | 53800 | 426 | 3.576 | 15044.7 |
1935 | 2025-05-05 16:11:00 | loses | 1 | 28756 | 30 | 0.516 | 55728.7 |
1934 | 2025-05-04 12:23:49 | loses | 2 | 53800 | 426 | 8.436 | 6377.4 |
1933 | 2025-05-03 14:24:49 | loses | 1 | 28756 | 30 | 0.500 | 57512.0 |
1932 | 2025-05-03 01:45:06 | loses | 1 | 28756 | 30 | 3.876 | 7419.0 |
1931 | 2025-05-01 11:12:08 | loses | 1 | 28756 | 30 | 1.373 | 20943.9 |
1930 | 2025-04-27 10:51:32 | loses | 1 | 28756 | 30 | 0.516 | 55728.7 |
1929 | 2025-04-20 18:46:07 | loses | 2 | 53800 | 426 | 1.843 | 29191.5 |
1928 | 2025-04-17 22:54:30 | loses | 2 | 53800 | 426 | 3.906 | 13773.7 |
1927 | 2025-04-15 14:20:32 | loses | 1 | 28756 | 30 | 3.860 | 7449.7 |
1926 | 2025-04-15 07:51:32 | loses | 1 | 28756 | 30 | 0.453 | 63479.0 |
1925 | 2025-04-09 08:56:53 | loses | 2 | 53800 | 426 | 4.233 | 12709.7 |
1924 | 2025-04-07 02:03:07 | loses | 1 | 28756 | 30 | 0.953 | 30174.2 |
1923 | 2025-04-03 21:05:54 | loses | 1 | 28756 | 30 | 2.780 | 10343.9 |
1922 | 2025-04-03 14:03:04 | loses | 1 | 28756 | 30 | 0.436 | 65954.1 |
1921 | 2025-04-02 06:38:17 | loses | 2 | 53800 | 426 | 8.266 | 6508.6 |
1920 | 2025-03-31 22:41:15 | loses | 2 | 53800 | 426 | 4.296 | 12523.3 |
1919 | 2025-03-31 12:58:25 | loses | 1 | 28756 | 30 | 2.686 | 10705.9 |
1918 | 2025-03-30 10:51:49 | loses | 1 | 28756 | 30 | 0.483 | 59536.2 |
1917 | 2025-03-29 08:37:02 | loses | 1 | 28756 | 30 | 1.326 | 21686.3 |
1916 | 2025-03-21 05:09:44 | loses | 2 | 53800 | 426 | 7.050 | 7631.2 |
1915 | 2025-03-20 13:29:52 | loses | 2 | 53800 | 426 | 6.560 | 8201.2 |
1914 | 2025-03-19 14:02:22 | loses | 2 | 53800 | 426 | 6.263 | 8590.1 |
1913 | 2025-03-18 09:55:24 | loses | 2 | 53800 | 426 | 9.030 | 5957.9 |
1912 | 2025-03-15 17:28:26 | loses | 1 | 28756 | 30 | 1.390 | 20687.8 |
1911 | 2025-03-08 09:03:58 | loses | 2 | 53800 | 426 | 9.656 | 5571.7 |
1910 | 2025-03-07 20:30:37 | loses | 1 | 28756 | 30 | 2.533 | 11352.5 |
1909 | 2025-03-04 03:39:13 | loses | 1 | 28756 | 30 | 2.330 | 12341.6 |
1908 | 2025-02-27 23:04:00 | loses | 1 | 28756 | 30 | 5.063 | 5679.6 |
1907 | 2025-02-26 05:33:39 | loses | 1 | 28756 | 30 | 1.216 | 23648.0 |
1906 | 2025-02-25 18:41:24 | loses | 2 | 53800 | 426 | 7.593 | 7085.5 |
1905 | 2025-02-25 12:25:41 | loses | 2 | 53800 | 426 | 3.843 | 13999.5 |
1904 | 2025-02-25 11:32:23 | loses | 1 | 28756 | 30 | 0.440 | 65354.5 |
1903 | 2025-02-24 22:15:44 | loses | 1 | 28756 | 30 | 1.843 | 15602.8 |
1902 | 2025-02-19 07:07:43 | loses | 1 | 28756 | 30 | 2.826 | 10175.5 |
1901 | 2025-02-16 14:02:55 | loses | 1 | 28756 | 30 | 2.000 | 14378.0 |
1900 | 2025-02-14 15:33:41 | loses | 2 | 53800 | 426 | 4.826 | 11147.9 |
1899 | 2025-02-09 04:41:07 | loses | 2 | 53800 | 426 | 10.343 | 5201.6 |
1898 | 2025-02-08 06:37:50 | loses | 2 | 53800 | 426 | 1.610 | 33416.1 |
1897 | 2025-02-07 21:47:45 | loses | 2 | 53800 | 426 | 10.000 | 5380.0 |
1896 | 2025-02-05 13:47:04 | loses | 1 | 28756 | 30 | 2.390 | 12031.8 |
1895 | 2025-02-01 17:46:10 | loses | 1 | 28756 | 30 | 3.360 | 8558.3 |
1894 | 2025-01-26 11:07:21 | loses | 1 | 28756 | 30 | 0.436 | 65954.1 |
1893 | 2025-01-26 09:52:39 | loses | 2 | 53800 | 426 | 11.706 | 4595.9 |
1892 | 2025-01-26 09:28:08 | loses | 1 | 28756 | 30 | 4.546 | 6325.6 |
1891 | 2025-01-25 08:56:53 | loses | 1 | 28756 | 30 | 1.310 | 21951.1 |
1890 | 2025-01-20 16:15:41 | loses | 2 | 53800 | 426 | 7.986 | 6736.8 |
1889 | 2025-01-18 05:59:27 | loses | 2 | 53800 | 426 | 11.330 | 4748.5 |
1888 | 2025-01-17 18:06:02 | loses | 2 | 53800 | 426 | 7.503 | 7170.5 |
1887 | 2025-01-15 04:52:48 | loses | 2 | 53800 | 426 | 5.983 | 8992.1 |
1886 | 2025-01-14 11:41:11 | loses | 2 | 53800 | 426 | 3.970 | 13551.6 |
1885 | 2025-01-13 05:41:35 | loses | 2 | 53800 | 426 | 5.816 | 9250.3 |
1884 | 2025-01-12 05:02:41 | loses | 2 | 53800 | 426 | 11.783 | 4565.9 |
1883 | 2025-01-11 20:24:32 | loses | 2 | 53800 | 426 | 6.220 | 8649.5 |
1882 | 2025-01-11 02:14:00 | loses | 2 | 53800 | 426 | 5.046 | 10661.9 |
1881 | 2025-01-10 13:01:45 | loses | 2 | 53800 | 426 | 5.593 | 9619.2 |
1880 | 2025-01-09 14:46:20 | loses | 2 | 53800 | 426 | 8.903 | 6042.9 |
1879 | 2025-01-09 10:35:57 | loses | 2 | 53800 | 426 | 3.860 | 13937.8 |
1878 | 2025-01-08 13:55:33 | loses | 2 | 53800 | 426 | 10.173 | 5288.5 |
1877 | 2025-01-07 17:37:25 | loses | 2 | 53800 | 426 | 5.643 | 9533.9 |
1876 | 2025-01-07 02:08:12 | loses | 2 | 53800 | 426 | 3.983 | 13507.4 |
1875 | 2025-01-06 11:43:57 | loses | 1 | 28756 | 30 | 3.233 | 8894.5 |
1874 | 2025-01-06 10:47:02 | loses | 2 | 53800 | 426 | 4.033 | 13339.9 |
1873 | 2025-01-05 18:59:45 | loses | 2 | 53800 | 426 | 12.123 | 4437.8 |