History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coats"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1978 | 2025-06-01 23:50:26 | coats | 1 | 28756 | 20 | 3.533 | 8139.3 |
1977 | 2025-06-01 14:33:11 | coats | 2 | 53800 | 356 | 1.813 | 29674.6 |
1976 | 2025-05-31 22:26:52 | coats | 2 | 53800 | 356 | 5.266 | 10216.5 |
1975 | 2025-05-30 14:41:40 | coats | 2 | 53800 | 356 | 7.030 | 7652.9 |
1974 | 2025-05-29 23:31:37 | coats | 1 | 28756 | 20 | 1.626 | 17685.1 |
1973 | 2025-05-29 19:10:12 | coats | 1 | 28756 | 20 | 2.750 | 10456.7 |
1972 | 2025-05-29 10:42:06 | coats | 1 | 28756 | 20 | 2.343 | 12273.2 |
1971 | 2025-05-27 23:37:08 | coats | 1 | 28756 | 20 | 0.513 | 56054.6 |
1970 | 2025-05-16 13:52:16 | coats | 1 | 28756 | 20 | 1.266 | 22714.1 |
1969 | 2025-05-10 07:42:50 | coats | 2 | 53800 | 356 | 12.140 | 4431.6 |
1968 | 2025-05-09 09:58:55 | coats | 1 | 28756 | 20 | 0.530 | 54256.6 |
1967 | 2025-05-04 06:49:34 | coats | 1 | 28756 | 20 | 0.983 | 29253.3 |
1966 | 2025-04-29 15:43:38 | coats | 1 | 28756 | 20 | 0.733 | 39230.6 |
1965 | 2025-04-28 23:18:48 | coats | 1 | 28756 | 20 | 2.436 | 11804.6 |
1964 | 2025-04-28 10:51:57 | coats | 1 | 28756 | 20 | 2.280 | 12612.3 |
1963 | 2025-04-27 13:27:13 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1962 | 2025-04-24 14:44:25 | coats | 1 | 28756 | 20 | 1.700 | 16915.3 |
1961 | 2025-04-15 14:40:15 | coats | 1 | 28756 | 20 | 1.376 | 20898.3 |
1960 | 2025-04-08 10:07:44 | coats | 1 | 28756 | 20 | 3.170 | 9071.3 |
1959 | 2025-03-31 07:41:43 | coats | 2 | 53800 | 356 | 4.093 | 13144.4 |
1958 | 2025-03-29 18:19:27 | coats | 1 | 28756 | 20 | 3.766 | 7635.7 |
1957 | 2025-03-21 04:08:05 | coats | 1 | 28756 | 20 | 3.780 | 7607.4 |
1956 | 2025-03-15 21:49:28 | coats | 2 | 53800 | 356 | 5.736 | 9379.4 |
1955 | 2025-03-15 18:18:37 | coats | 2 | 53800 | 356 | 12.126 | 4436.7 |
1954 | 2025-03-15 17:53:27 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1953 | 2025-03-07 15:07:35 | coats | 1 | 28756 | 20 | 3.343 | 8601.9 |
1952 | 2025-03-03 00:26:12 | coats | 1 | 28756 | 20 | 2.313 | 12432.3 |
1951 | 2025-02-26 17:29:36 | coats | 1 | 28756 | 20 | 2.296 | 12524.4 |
1950 | 2025-02-26 01:26:13 | coats | 1 | 28756 | 20 | 2.140 | 13437.4 |
1949 | 2025-02-25 18:46:32 | coats | 2 | 53800 | 356 | 8.110 | 6633.8 |
1948 | 2025-02-25 12:38:10 | coats | 2 | 53800 | 356 | 8.530 | 6307.2 |
1947 | 2025-02-25 10:53:36 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1946 | 2025-02-25 09:08:47 | coats | 2 | 53800 | 356 | 7.610 | 7069.6 |
1945 | 2025-02-25 08:54:12 | coats | 1 | 28756 | 20 | 0.516 | 55728.7 |
1944 | 2025-02-23 02:40:42 | coats | 1 | 28756 | 20 | 2.563 | 11219.7 |
1943 | 2025-02-14 20:49:58 | coats | 1 | 28756 | 20 | 3.310 | 8687.6 |
1942 | 2025-02-05 08:59:56 | coats | 1 | 28756 | 20 | 1.516 | 18968.3 |
1941 | 2025-01-27 12:10:58 | coats | 1 | 28756 | 20 | 0.483 | 59536.2 |
1940 | 2025-01-27 00:03:31 | coats | 1 | 28756 | 20 | 0.500 | 57512.0 |
1939 | 2025-01-26 06:32:56 | coats | 2 | 53800 | 356 | 2.326 | 23129.8 |
1938 | 2025-01-26 03:42:14 | coats | 2 | 53800 | 356 | 4.300 | 12511.6 |
1937 | 2025-01-26 00:54:13 | coats | 2 | 53800 | 356 | 6.046 | 8898.4 |
1936 | 2025-01-26 00:42:24 | coats | 1 | 28756 | 20 | 0.533 | 53951.2 |
1935 | 2025-01-24 02:20:38 | coats | 1 | 28756 | 20 | 2.530 | 11366.0 |
1934 | 2025-01-06 01:26:03 | coats | 1 | 28756 | 20 | 1.326 | 21686.3 |
1933 | 2024-12-28 08:34:58 | coats | 1 | 28756 | 20 | 0.983 | 29253.3 |
1932 | 2024-12-26 23:59:32 | coats | 1 | 28756 | 20 | 0.813 | 35370.2 |
1931 | 2024-12-25 00:25:53 | coats | 1 | 28756 | 20 | 1.250 | 23004.8 |
1930 | 2024-12-10 11:38:58 | coats | 1 | 28756 | 20 | 2.563 | 11219.7 |
1929 | 2024-12-07 01:36:25 | coats | 1 | 28756 | 20 | 3.830 | 7508.1 |
1928 | 2024-11-30 07:35:46 | coats | 2 | 53800 | 356 | 7.890 | 6818.8 |
1927 | 2024-11-30 01:30:03 | coats | 2 | 53800 | 356 | 6.093 | 8829.8 |
1926 | 2024-11-28 07:05:43 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1925 | 2024-11-26 21:40:45 | coats | 1 | 28756 | 20 | 3.530 | 8146.2 |
1924 | 2024-11-24 22:34:43 | coats | 1 | 28756 | 20 | 1.406 | 20452.3 |
1923 | 2024-11-06 20:41:04 | coats | 1 | 28756 | 20 | 1.686 | 17055.8 |
1922 | 2024-10-29 19:07:37 | coats | 2 | 53800 | 356 | 5.783 | 9303.1 |
1921 | 2024-10-29 09:40:59 | coats | 2 | 53800 | 356 | 4.890 | 11002.0 |
1920 | 2024-10-29 05:19:23 | coats | 2 | 53800 | 356 | 10.970 | 4904.3 |
1919 | 2024-10-29 05:10:35 | coats | 1 | 28756 | 20 | 1.153 | 24940.2 |
1918 | 2024-10-27 21:28:24 | coats | 1 | 28756 | 20 | 0.466 | 61708.2 |
1917 | 2024-10-26 08:25:07 | coats | 1 | 28756 | 20 | 2.343 | 12273.2 |
1916 | 2024-10-26 08:12:51 | coats | 1 | 28756 | 20 | 2.530 | 11366.0 |
1915 | 2024-10-25 22:03:06 | coats | 1 | 28756 | 20 | 1.266 | 22714.1 |
1914 | 2024-10-22 14:19:32 | coats | 1 | 28756 | 20 | 3.516 | 8178.6 |
1913 | 2024-10-22 13:59:38 | coats | 1 | 28756 | 20 | 2.360 | 12184.7 |
1912 | 2024-10-07 19:44:13 | coats | 1 | 28756 | 20 | 2.343 | 12273.2 |
1911 | 2024-09-28 23:20:02 | coats | 2 | 53800 | 356 | 11.000 | 4890.9 |
1910 | 2024-09-28 22:45:32 | coats | 1 | 28756 | 20 | 0.453 | 63479.0 |
1909 | 2024-09-27 15:34:27 | coats | 1 | 28756 | 20 | 3.110 | 9246.3 |
1908 | 2024-09-25 16:56:46 | coats | 1 | 28756 | 20 | 3.846 | 7476.9 |
1907 | 2024-08-30 09:48:40 | coats | 1 | 28756 | 20 | 2.360 | 12184.7 |
1906 | 2024-08-29 12:10:10 | coats | 1 | 28756 | 20 | 4.203 | 6841.8 |
1905 | 2024-08-26 16:05:37 | coats | 1 | 28756 | 20 | 2.890 | 9950.2 |
1904 | 2024-08-23 07:51:42 | coats | 1 | 28756 | 20 | 0.513 | 56054.6 |
1903 | 2024-08-21 01:10:43 | coats | 1 | 28756 | 20 | 4.483 | 6414.5 |
1902 | 2024-08-08 08:02:55 | coats | 1 | 28756 | 20 | 1.093 | 26309.2 |
1901 | 2024-08-05 15:53:02 | coats | 1 | 28756 | 20 | 2.000 | 14378.0 |
1900 | 2024-08-02 09:41:46 | coats | 1 | 28756 | 20 | 1.673 | 17188.3 |
1899 | 2024-07-30 07:23:11 | coats | 1 | 28756 | 20 | 0.483 | 59536.2 |
1898 | 2024-07-29 10:11:11 | coats | 1 | 28756 | 20 | 0.893 | 32201.6 |
1897 | 2024-07-28 12:45:16 | coats | 1 | 28756 | 20 | 1.750 | 16432.0 |
1896 | 2024-07-27 06:51:19 | coats | 1 | 28756 | 20 | 2.656 | 10826.8 |
1895 | 2024-07-23 16:57:44 | coats | 2 | 53800 | 356 | 5.983 | 8992.1 |
1894 | 2024-07-15 15:33:19 | coats | 1 | 28756 | 20 | 1.000 | 28756.0 |
1893 | 2024-07-15 00:29:27 | coats | 1 | 28756 | 20 | 1.920 | 14977.1 |
1892 | 2024-07-08 09:28:33 | coats | 1 | 28756 | 20 | 1.640 | 17534.1 |
1891 | 2024-07-06 08:24:36 | coats | 2 | 53800 | 356 | 6.233 | 8631.5 |
1890 | 2024-07-05 17:06:27 | coats | 1 | 28756 | 20 | 2.826 | 10175.5 |
1889 | 2024-07-01 07:41:19 | coats | 2 | 53800 | 356 | 5.030 | 10695.8 |
1888 | 2024-07-01 01:32:42 | coats | 2 | 53800 | 356 | 9.033 | 5955.9 |
1887 | 2024-06-30 23:13:03 | coats | 2 | 53800 | 356 | 9.736 | 5525.9 |
1886 | 2024-06-30 23:12:09 | coats | 1 | 28756 | 20 | 1.203 | 23903.6 |
1885 | 2024-06-30 03:55:58 | coats | 1 | 28756 | 20 | 2.656 | 10826.8 |
1884 | 2024-06-29 05:23:50 | coats | 1 | 28756 | 20 | 2.250 | 12780.4 |
1883 | 2024-06-28 07:37:20 | coats | 1 | 28756 | 20 | 0.716 | 40162.0 |
1882 | 2024-06-26 20:19:37 | coats | 1 | 28756 | 20 | 1.110 | 25906.3 |
1881 | 2024-06-15 12:11:42 | coats | 1 | 28756 | 20 | 1.846 | 15577.5 |
1880 | 2024-06-11 04:35:43 | coats | 1 | 28756 | 20 | 2.703 | 10638.5 |
1879 | 2024-06-10 17:31:14 | coats | 1 | 28756 | 20 | 1.173 | 24514.9 |