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 |
| 2049 | 2025-10-28 17:14:14 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2048 | 2025-10-24 19:50:55 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2047 | 2025-10-24 14:50:08 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2046 | 2025-10-24 13:46:02 | sets | 1 | 13983 | 33 | 0.263 | 53167.3 |
| 2045 | 2025-10-21 21:42:25 | sets | 2 | 29872 | 546 | 3.343 | 8935.7 |
| 2044 | 2025-10-21 10:19:53 | sets | 2 | 29872 | 546 | 0.780 | 38297.4 |
| 2043 | 2025-10-20 17:35:48 | sets | 1 | 13983 | 33 | 0.296 | 47239.9 |
| 2042 | 2025-10-19 13:43:31 | sets | 2 | 29872 | 546 | 0.876 | 34100.5 |
| 2041 | 2025-10-19 12:53:06 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2040 | 2025-10-18 21:28:02 | sets | 1 | 13983 | 33 | 0.263 | 53167.3 |
| 2039 | 2025-10-13 00:57:33 | sets | 2 | 29872 | 546 | 0.923 | 32364.0 |
| 2038 | 2025-10-12 19:09:17 | sets | 1 | 13983 | 33 | 0.263 | 53167.3 |
| 2037 | 2025-10-12 12:53:44 | sets | 2 | 29872 | 546 | 0.890 | 33564.0 |
| 2036 | 2025-10-08 23:59:29 | sets | 2 | 29872 | 546 | 0.796 | 37527.6 |
| 2035 | 2025-10-07 07:08:57 | sets | 1 | 13983 | 33 | 0.563 | 24836.6 |
| 2034 | 2025-10-03 00:19:33 | sets | 1 | 13983 | 33 | 0.216 | 64736.1 |
| 2033 | 2025-10-02 23:28:36 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2032 | 2025-10-02 00:40:02 | sets | 1 | 13983 | 33 | 0.216 | 64736.1 |
| 2031 | 2025-09-29 23:35:10 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2030 | 2025-09-25 20:40:19 | sets | 1 | 13983 | 33 | 1.513 | 9241.9 |
| 2029 | 2025-09-25 12:04:01 | sets | 2 | 29872 | 546 | 0.923 | 32364.0 |
| 2028 | 2025-09-25 10:49:33 | sets | 1 | 13983 | 33 | 1.780 | 7855.6 |
| 2027 | 2025-09-25 10:49:25 | sets | 1 | 13983 | 33 | 1.923 | 7271.5 |
| 2026 | 2025-09-20 14:01:04 | sets | 2 | 29872 | 546 | 0.890 | 33564.0 |
| 2025 | 2025-09-20 05:28:10 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2024 | 2025-09-15 18:38:42 | sets | 2 | 29872 | 546 | 0.783 | 38150.7 |
| 2023 | 2025-09-15 10:14:41 | sets | 2 | 29872 | 546 | 0.860 | 34734.9 |
| 2022 | 2025-09-13 19:37:18 | sets | 2 | 29872 | 546 | 0.780 | 38297.4 |
| 2021 | 2025-09-12 13:05:01 | sets | 1 | 13983 | 33 | 0.343 | 40766.8 |
| 2020 | 2025-09-08 05:55:50 | sets | 2 | 29872 | 546 | 0.813 | 36742.9 |
| 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 |