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 |
2019 | 2025-09-04 23:54:24 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
2018 | 2025-09-04 04:00:34 | sets | 2 | 29872 | 546 | 0.800 | 37340.0 |
2017 | 2025-09-02 09:12:27 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
2016 | 2025-09-01 06:36:12 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
2015 | 2025-08-31 07:38:22 | sets | 2 | 29872 | 546 | 0.940 | 31778.7 |
2014 | 2025-08-29 06:33:44 | sets | 2 | 29872 | 546 | 1.016 | 29401.6 |
2013 | 2025-08-27 16:12:20 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
2012 | 2025-08-27 08:02:02 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
2011 | 2025-08-27 03:45:15 | sets | 2 | 29872 | 546 | 0.983 | 30388.6 |
2010 | 2025-08-25 08:43:51 | sets | 1 | 13983 | 33 | 2.003 | 6981.0 |
2009 | 2025-08-25 08:01:21 | sets | 2 | 29872 | 546 | 4.563 | 6546.6 |
2008 | 2025-08-24 20:00:43 | sets | 1 | 13983 | 33 | 0.736 | 18998.6 |
2007 | 2025-08-21 21:24:09 | sets | 2 | 29872 | 546 | 0.860 | 34734.9 |
2006 | 2025-08-18 07:54:47 | sets | 2 | 29872 | 546 | 1.516 | 19704.5 |
2005 | 2025-08-17 14:56:31 | sets | 1 | 13983 | 33 | 1.153 | 12127.5 |
2004 | 2025-08-15 17:35:28 | sets | 1 | 13983 | 33 | 1.000 | 13983.0 |
2003 | 2025-08-13 18:54:39 | sets | 2 | 29872 | 546 | 4.453 | 6708.3 |
2002 | 2025-08-13 05:42:48 | sets | 2 | 29872 | 546 | 2.750 | 10862.5 |
2001 | 2025-08-11 06:05:53 | sets | 2 | 29872 | 546 | 5.373 | 5559.7 |
2000 | 2025-08-10 17:12:49 | sets | 2 | 29872 | 546 | 3.766 | 7932.0 |
1999 | 2025-08-10 15:47:14 | sets | 2 | 29872 | 546 | 3.546 | 8424.1 |
1998 | 2025-08-10 11:57:04 | sets | 1 | 13983 | 33 | 0.983 | 14224.8 |
1997 | 2025-08-09 15:22:12 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1996 | 2025-08-09 14:40:46 | sets | 2 | 29872 | 546 | 5.906 | 5057.9 |
1995 | 2025-08-08 12:19:38 | sets | 2 | 29872 | 546 | 0.906 | 32971.3 |
1994 | 2025-08-06 16:20:24 | sets | 2 | 29872 | 546 | 2.266 | 13182.7 |
1993 | 2025-08-05 08:44:57 | sets | 2 | 29872 | 546 | 2.170 | 13765.9 |
1992 | 2025-08-05 00:54:10 | sets | 2 | 29872 | 546 | 2.550 | 11714.5 |
1991 | 2025-08-04 16:42:28 | sets | 2 | 29872 | 546 | 2.763 | 10811.4 |
1990 | 2025-08-03 19:15:37 | sets | 2 | 29872 | 546 | 0.936 | 31914.5 |
1989 | 2025-08-03 16:56:45 | sets | 2 | 29872 | 546 | 0.810 | 36879.0 |
1988 | 2025-08-02 21:00:41 | sets | 1 | 13983 | 33 | 1.986 | 7040.8 |
1987 | 2025-08-01 15:34:47 | sets | 1 | 13983 | 33 | 0.483 | 28950.3 |
1986 | 2025-07-31 16:20:38 | sets | 1 | 13983 | 33 | 1.123 | 12451.5 |
1985 | 2025-07-31 09:58:10 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
1984 | 2025-07-28 00:29:30 | sets | 2 | 29872 | 546 | 1.953 | 15295.4 |
1983 | 2025-07-27 08:59:23 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
1982 | 2025-07-26 22:58:34 | sets | 1 | 13983 | 33 | 1.516 | 9223.6 |
1981 | 2025-07-26 19:06:40 | sets | 2 | 29872 | 546 | 2.690 | 11104.8 |
1980 | 2025-07-23 17:48:20 | sets | 2 | 29872 | 546 | 1.966 | 15194.3 |
1979 | 2025-07-22 13:54:20 | sets | 1 | 13983 | 33 | 1.233 | 11340.6 |
1978 | 2025-07-22 03:43:49 | sets | 2 | 29872 | 546 | 0.903 | 33080.8 |
1977 | 2025-07-21 18:23:22 | sets | 2 | 29872 | 546 | 0.860 | 34734.9 |
1976 | 2025-07-21 14:46:14 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
1975 | 2025-07-21 06:47:21 | sets | 1 | 13983 | 33 | 0.216 | 64736.1 |
1974 | 2025-07-20 01:14:08 | sets | 2 | 29872 | 546 | 0.966 | 30923.4 |
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 |