History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"best"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
2092 | 2024-04-28 11:30:29 | best | 1 | 13983 | 27 | 0.296 | 47239.9 |
2091 | 2024-04-28 02:25:06 | best | 2 | 29872 | 344 | 1.690 | 17675.7 |
2090 | 2024-04-26 05:24:51 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2089 | 2024-04-25 15:17:32 | best | 1 | 13983 | 27 | 0.296 | 47239.9 |
2088 | 2024-04-14 23:36:54 | best | 1 | 13983 | 27 | 0.813 | 17199.3 |
2087 | 2024-04-02 18:55:03 | best | 1 | 13983 | 27 | 0.576 | 24276.0 |
2086 | 2024-04-01 21:19:33 | best | 2 | 29872 | 344 | 0.846 | 35309.7 |
2085 | 2024-04-01 17:14:20 | best | 2 | 29872 | 344 | 2.310 | 12931.6 |
2084 | 2024-04-01 16:40:30 | best | 1 | 13983 | 27 | 0.533 | 26234.5 |
2083 | 2024-03-30 20:37:10 | best | 1 | 13983 | 27 | 0.563 | 24836.6 |
2082 | 2024-03-28 05:31:03 | best | 1 | 13983 | 27 | 0.283 | 49409.9 |
2081 | 2024-03-27 22:14:51 | best | 1 | 13983 | 27 | 0.266 | 52567.7 |
2080 | 2024-03-27 22:14:39 | best | 2 | 29872 | 344 | 0.860 | 34734.9 |
2079 | 2024-03-26 22:52:39 | best | 1 | 13983 | 27 | 0.216 | 64736.1 |
2078 | 2024-03-26 12:27:05 | best | 2 | 29872 | 344 | 0.860 | 34734.9 |
2077 | 2024-03-23 06:03:52 | best | 2 | 29872 | 344 | 0.860 | 34734.9 |
2076 | 2024-03-02 17:25:30 | best | 1 | 13983 | 27 | 0.236 | 59250.0 |
2075 | 2024-03-02 14:57:47 | best | 2 | 29872 | 344 | 0.986 | 30296.1 |
2074 | 2024-03-02 13:27:04 | best | 1 | 13983 | 27 | 0.546 | 25609.9 |
2073 | 2024-03-01 10:42:31 | best | 1 | 13983 | 27 | 0.373 | 37487.9 |
2072 | 2024-02-27 15:09:37 | best | 1 | 13983 | 27 | 0.283 | 49409.9 |
2071 | 2024-02-25 21:15:11 | best | 2 | 29872 | 344 | 3.110 | 9605.1 |
2070 | 2024-02-25 20:55:40 | best | 1 | 13983 | 27 | 0.280 | 49939.3 |
2069 | 2024-02-22 08:23:00 | best | 2 | 29872 | 344 | 0.970 | 30795.9 |
2068 | 2024-02-20 06:32:28 | best | 1 | 13983 | 27 | 0.390 | 35853.8 |
2067 | 2024-02-13 23:26:28 | best | 1 | 13983 | 27 | 0.266 | 52567.7 |
2066 | 2024-01-26 18:40:45 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2065 | 2024-01-03 15:12:38 | best | 2 | 29872 | 344 | 0.843 | 35435.3 |
2064 | 2023-12-20 07:25:39 | best | 1 | 13983 | 27 | 0.216 | 64736.1 |
2063 | 2023-12-03 05:49:57 | best | 2 | 29872 | 344 | 0.750 | 39829.3 |
2062 | 2023-12-02 01:37:33 | best | 1 | 13983 | 27 | 0.216 | 64736.1 |
2061 | 2023-11-29 10:13:21 | best | 1 | 13983 | 27 | 0.236 | 59250.0 |
2060 | 2023-11-21 15:40:52 | best | 2 | 29872 | 344 | 1.423 | 20992.3 |
2059 | 2023-11-15 22:06:24 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2058 | 2023-11-15 11:34:16 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2057 | 2023-11-15 00:28:42 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2056 | 2023-11-12 17:51:51 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2055 | 2023-11-11 14:01:05 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2054 | 2023-11-10 13:49:52 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
2053 | 2023-11-09 09:13:25 | best | 1 | 13983 | 27 | 0.216 | 64736.1 |
2052 | 2023-11-09 09:12:54 | best | 1 | 13983 | 27 | 0.203 | 68881.8 |
2051 | 2023-10-28 15:22:08 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2050 | 2023-10-27 18:09:15 | best | 2 | 29872 | 344 | 0.940 | 31778.7 |
2049 | 2023-10-25 12:47:22 | best | 2 | 29872 | 344 | 0.733 | 40753.1 |
2048 | 2023-10-23 10:03:51 | best | 2 | 29872 | 344 | 0.920 | 32469.6 |
2047 | 2023-10-20 22:45:36 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2046 | 2023-10-20 10:47:26 | best | 2 | 29872 | 344 | 0.750 | 39829.3 |
2045 | 2023-10-19 23:41:15 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
2044 | 2023-10-19 14:32:15 | best | 2 | 29872 | 344 | 0.796 | 37527.6 |
2043 | 2023-10-18 11:06:43 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2042 | 2023-10-17 21:57:45 | best | 2 | 29872 | 344 | 0.873 | 34217.6 |
2041 | 2023-10-17 20:24:50 | best | 2 | 29872 | 344 | 0.923 | 32364.0 |
2040 | 2023-10-17 08:10:57 | best | 2 | 29872 | 344 | 0.780 | 38297.4 |
2039 | 2023-10-14 17:17:40 | best | 2 | 29872 | 344 | 0.813 | 36742.9 |
2038 | 2023-10-13 09:32:35 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
2037 | 2023-10-05 03:26:45 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
2036 | 2023-10-03 22:30:12 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
2035 | 2023-09-26 19:48:21 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
2034 | 2023-09-22 12:22:15 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2033 | 2023-09-21 05:29:25 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2032 | 2023-09-18 22:59:18 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
2031 | 2023-09-18 03:38:10 | best | 1 | 13983 | 27 | 0.216 | 64736.1 |
2030 | 2023-09-17 10:21:56 | best | 1 | 13983 | 27 | 0.453 | 30867.5 |
2029 | 2023-09-15 00:30:35 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2028 | 2023-09-13 11:13:48 | best | 1 | 13983 | 27 | 0.203 | 68881.8 |
2027 | 2023-09-12 12:27:39 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2026 | 2023-09-12 02:03:53 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2025 | 2023-09-10 17:00:33 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
2024 | 2023-09-09 12:29:30 | best | 1 | 13983 | 27 | 0.216 | 64736.1 |
2023 | 2023-09-07 22:45:07 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
2022 | 2023-09-05 04:34:52 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2021 | 2023-09-03 10:08:40 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
2020 | 2023-09-02 06:53:19 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2019 | 2023-08-31 13:33:17 | best | 2 | 29872 | 344 | 0.750 | 39829.3 |
2018 | 2023-08-30 09:24:32 | best | 1 | 13983 | 27 | 0.406 | 34440.9 |
2017 | 2023-08-29 03:37:34 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2016 | 2023-08-27 17:55:45 | best | 1 | 13983 | 27 | 0.203 | 68881.8 |
2015 | 2023-08-26 18:38:15 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2014 | 2023-08-26 08:15:56 | best | 2 | 29872 | 344 | 0.750 | 39829.3 |
2013 | 2023-08-24 13:11:19 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2012 | 2023-08-23 17:14:39 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2011 | 2023-08-22 03:21:10 | best | 1 | 13983 | 27 | 0.203 | 68881.8 |
2010 | 2023-08-20 02:08:16 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2009 | 2023-08-16 23:52:48 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2008 | 2023-08-15 19:31:48 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
2007 | 2023-08-05 08:22:56 | best | 1 | 13983 | 27 | 0.203 | 68881.8 |
2006 | 2023-08-04 04:04:05 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2005 | 2023-08-02 17:06:44 | best | 1 | 13983 | 27 | 0.263 | 53167.3 |
2004 | 2023-07-31 20:20:00 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2003 | 2023-07-30 16:53:33 | best | 1 | 13983 | 27 | 0.393 | 35580.2 |
2002 | 2023-07-28 17:53:41 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
2001 | 2023-07-27 00:26:26 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
2000 | 2023-07-26 00:06:02 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
1999 | 2023-07-24 19:20:08 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
1998 | 2023-07-23 16:42:47 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
1997 | 2023-07-23 02:12:21 | best | 1 | 13983 | 27 | 0.216 | 64736.1 |
1996 | 2023-07-21 15:07:11 | best | 1 | 13983 | 27 | 0.236 | 59250.0 |
1995 | 2023-07-20 10:57:34 | best | 1 | 13983 | 27 | 0.220 | 63559.1 |
1994 | 2023-07-19 07:25:52 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
1993 | 2023-07-17 19:22:24 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |