History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"fit"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
2011 | 2025-06-06 01:05:55 | fit | 1 | 5146 | 32 | 0.096 | 53604.2 |
2010 | 2025-06-04 09:07:50 | fit | 2 | 14084 | 472 | 2.233 | 6307.2 |
2009 | 2025-05-31 16:31:26 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
2008 | 2025-05-30 14:42:30 | fit | 1 | 5146 | 32 | 0.110 | 46781.8 |
2007 | 2025-05-30 14:19:20 | fit | 1 | 5146 | 32 | 0.606 | 8491.7 |
2006 | 2025-05-30 07:15:53 | fit | 1 | 5146 | 32 | 0.203 | 25349.8 |
2005 | 2025-05-28 09:30:45 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
2004 | 2025-05-25 18:13:42 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
2003 | 2025-05-24 13:00:15 | fit | 1 | 5146 | 32 | 0.580 | 8872.4 |
2002 | 2025-05-22 15:38:21 | fit | 1 | 5146 | 32 | 0.203 | 25349.8 |
2001 | 2025-05-20 08:17:32 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
2000 | 2025-05-14 21:29:37 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1999 | 2025-05-14 02:46:30 | fit | 1 | 5146 | 32 | 0.830 | 6200.0 |
1998 | 2025-05-12 17:27:33 | fit | 1 | 5146 | 32 | 0.296 | 17385.1 |
1997 | 2025-05-10 06:50:23 | fit | 1 | 5146 | 32 | 0.640 | 8040.6 |
1996 | 2025-05-08 10:08:38 | fit | 1 | 5146 | 32 | 0.106 | 48547.2 |
1995 | 2025-05-07 23:42:44 | fit | 2 | 14084 | 472 | 2.326 | 6055.0 |
1994 | 2025-05-07 23:30:36 | fit | 2 | 14084 | 472 | 0.860 | 16376.7 |
1993 | 2025-05-07 11:34:15 | fit | 2 | 14084 | 472 | 0.483 | 29159.4 |
1992 | 2025-05-05 16:26:45 | fit | 2 | 14084 | 472 | 0.326 | 43202.5 |
1991 | 2025-05-05 11:49:51 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1990 | 2025-05-05 07:53:24 | fit | 1 | 5146 | 32 | 0.640 | 8040.6 |
1989 | 2025-05-01 15:58:34 | fit | 2 | 14084 | 472 | 0.423 | 33295.5 |
1988 | 2025-05-01 00:36:32 | fit | 2 | 14084 | 472 | 1.703 | 8270.1 |
1987 | 2025-04-29 18:50:50 | fit | 1 | 5146 | 32 | 0.096 | 53604.2 |
1986 | 2025-04-29 17:28:24 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1985 | 2025-04-29 13:40:08 | fit | 1 | 5146 | 32 | 0.076 | 67710.5 |
1984 | 2025-04-29 07:16:23 | fit | 1 | 5146 | 32 | 0.080 | 64325.0 |
1983 | 2025-04-26 20:02:53 | fit | 1 | 5146 | 32 | 0.096 | 53604.2 |
1982 | 2025-04-26 15:01:00 | fit | 1 | 5146 | 32 | 0.703 | 7320.1 |
1981 | 2025-04-26 05:23:24 | fit | 2 | 14084 | 472 | 1.063 | 13249.3 |
1980 | 2025-04-25 03:23:36 | fit | 1 | 5146 | 32 | 0.593 | 8677.9 |
1979 | 2025-04-23 13:54:15 | fit | 1 | 5146 | 32 | 0.096 | 53604.2 |
1978 | 2025-04-18 12:42:32 | fit | 1 | 5146 | 32 | 0.110 | 46781.8 |
1977 | 2025-04-14 03:30:55 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1976 | 2025-04-14 03:05:12 | fit | 1 | 5146 | 32 | 0.703 | 7320.1 |
1975 | 2025-04-09 06:21:04 | fit | 1 | 5146 | 32 | 0.703 | 7320.1 |
1974 | 2025-04-06 00:04:06 | fit | 1 | 5146 | 32 | 0.483 | 10654.2 |
1973 | 2025-03-29 09:34:35 | fit | 1 | 5146 | 32 | 0.203 | 25349.8 |
1972 | 2025-03-26 17:31:39 | fit | 1 | 5146 | 32 | 0.500 | 10292.0 |
1971 | 2025-03-25 04:46:50 | fit | 1 | 5146 | 32 | 0.186 | 27666.7 |
1970 | 2025-03-14 19:58:40 | fit | 1 | 5146 | 32 | 1.093 | 4708.1 |
1969 | 2025-03-09 11:00:09 | fit | 1 | 5146 | 32 | 0.280 | 18378.6 |
1968 | 2025-03-06 06:34:25 | fit | 1 | 5146 | 32 | 0.516 | 9972.9 |
1967 | 2025-02-25 03:52:28 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1966 | 2025-02-25 01:47:18 | fit | 2 | 14084 | 472 | 1.203 | 11707.4 |
1965 | 2025-02-24 23:35:57 | fit | 2 | 14084 | 472 | 2.936 | 4797.0 |
1964 | 2025-02-24 04:44:35 | fit | 1 | 5146 | 32 | 0.296 | 17385.1 |
1963 | 2025-02-24 00:27:48 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1962 | 2025-02-22 19:01:52 | fit | 1 | 5146 | 32 | 0.096 | 53604.2 |
1961 | 2025-02-22 19:00:03 | fit | 2 | 14084 | 472 | 1.286 | 10951.8 |
1960 | 2025-02-21 13:10:02 | fit | 2 | 14084 | 472 | 1.100 | 12803.6 |
1959 | 2025-02-20 20:26:56 | fit | 1 | 5146 | 32 | 0.316 | 16284.8 |
1958 | 2025-02-04 02:49:13 | fit | 2 | 14084 | 472 | 1.656 | 8504.8 |
1957 | 2025-02-04 02:41:23 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1956 | 2025-01-26 02:09:55 | fit | 1 | 5146 | 32 | 0.203 | 25349.8 |
1955 | 2025-01-25 21:36:43 | fit | 2 | 14084 | 472 | 0.390 | 36112.8 |
1954 | 2025-01-25 20:56:31 | fit | 2 | 14084 | 472 | 1.030 | 13673.8 |
1953 | 2025-01-25 01:27:06 | fit | 1 | 5146 | 32 | 0.186 | 27666.7 |
1952 | 2025-01-24 16:48:06 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1951 | 2025-01-23 19:53:01 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1950 | 2025-01-21 21:30:54 | fit | 1 | 5146 | 32 | 0.280 | 18378.6 |
1949 | 2025-01-17 23:24:55 | fit | 2 | 14084 | 472 | 1.780 | 7912.4 |
1948 | 2025-01-05 02:44:46 | fit | 2 | 14084 | 472 | 1.690 | 8333.7 |
1947 | 2025-01-05 02:27:47 | fit | 1 | 5146 | 32 | 0.486 | 10588.5 |
1946 | 2025-01-02 17:48:42 | fit | 2 | 14084 | 472 | 1.203 | 11707.4 |
1945 | 2024-12-30 03:25:24 | fit | 2 | 14084 | 472 | 0.343 | 41061.2 |
1944 | 2024-12-27 13:59:23 | fit | 2 | 14084 | 472 | 0.313 | 44996.8 |
1943 | 2024-12-27 00:31:26 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1942 | 2024-12-26 20:57:06 | fit | 2 | 14084 | 472 | 1.906 | 7389.3 |
1941 | 2024-12-26 18:16:15 | fit | 2 | 14084 | 472 | 0.390 | 36112.8 |
1940 | 2024-12-26 17:50:25 | fit | 2 | 14084 | 472 | 0.970 | 14519.6 |
1939 | 2024-12-25 23:29:48 | fit | 1 | 5146 | 32 | 0.203 | 25349.8 |
1938 | 2024-12-24 17:55:12 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1937 | 2024-12-10 17:58:48 | fit | 1 | 5146 | 32 | 0.686 | 7501.5 |
1936 | 2024-12-05 21:41:01 | fit | 2 | 14084 | 472 | 2.080 | 6771.2 |
1935 | 2024-12-05 21:27:01 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1934 | 2024-11-26 18:04:45 | fit | 1 | 5146 | 32 | 0.563 | 9140.3 |
1933 | 2024-11-26 15:15:59 | fit | 2 | 14084 | 472 | 0.843 | 16707.0 |
1932 | 2024-11-26 13:52:04 | fit | 2 | 14084 | 472 | 1.453 | 9693.0 |
1931 | 2024-11-26 13:22:34 | fit | 2 | 14084 | 472 | 1.470 | 9581.0 |
1930 | 2024-11-25 23:15:00 | fit | 1 | 5146 | 32 | 0.093 | 55333.3 |
1929 | 2024-11-24 18:15:56 | fit | 1 | 5146 | 32 | 0.623 | 8260.0 |
1928 | 2024-11-05 20:43:02 | fit | 1 | 5146 | 32 | 0.563 | 9140.3 |
1927 | 2024-10-27 18:09:14 | fit | 1 | 5146 | 32 | 0.596 | 8634.2 |
1926 | 2024-10-27 13:52:21 | fit | 2 | 14084 | 472 | 2.466 | 5711.3 |
1925 | 2024-10-27 11:32:40 | fit | 2 | 14084 | 472 | 0.983 | 14327.6 |
1924 | 2024-10-26 18:50:01 | fit | 1 | 5146 | 32 | 0.326 | 15785.3 |
1923 | 2024-10-25 16:47:17 | fit | 1 | 5146 | 32 | 0.576 | 8934.0 |
1922 | 2024-10-18 06:30:54 | fit | 1 | 5146 | 32 | 0.593 | 8677.9 |
1921 | 2024-10-10 15:37:33 | fit | 1 | 5146 | 32 | 0.186 | 27666.7 |
1920 | 2024-10-10 06:48:36 | fit | 1 | 5146 | 32 | 0.516 | 9972.9 |
1919 | 2024-10-06 20:31:42 | fit | 1 | 5146 | 32 | 0.576 | 8934.0 |
1918 | 2024-10-06 16:03:56 | fit | 1 | 5146 | 32 | 0.843 | 6104.4 |
1917 | 2024-10-05 20:07:07 | fit | 1 | 5146 | 32 | 0.110 | 46781.8 |
1916 | 2024-09-28 17:18:16 | fit | 1 | 5146 | 32 | 0.596 | 8634.2 |
1915 | 2024-09-27 12:38:48 | fit | 1 | 5146 | 32 | 0.110 | 46781.8 |
1914 | 2024-09-27 02:37:36 | fit | 2 | 14084 | 472 | 3.203 | 4397.1 |
1913 | 2024-09-26 22:55:10 | fit | 2 | 14084 | 472 | 4.483 | 3141.6 |
1912 | 2024-09-26 18:44:59 | fit | 2 | 14084 | 472 | 1.233 | 11422.5 |