History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"ware"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 2107 | 2025-12-08 22:33:56 | ware | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 2106 | 2025-12-08 01:20:48 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2105 | 2025-12-06 21:46:18 | ware | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 2104 | 2025-12-06 11:35:19 | ware | 2 | 29872 | 544 | 1.800 | 16595.6 |
| 2103 | 2025-12-04 14:51:41 | ware | 1 | 13983 | 36 | 0.236 | 59250.0 |
| 2102 | 2025-12-02 03:14:16 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2101 | 2025-11-29 07:31:18 | ware | 1 | 13983 | 36 | 0.266 | 52567.7 |
| 2100 | 2025-11-28 13:19:25 | ware | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 2099 | 2025-11-27 08:30:51 | ware | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 2098 | 2025-11-24 20:18:36 | ware | 2 | 29872 | 544 | 1.326 | 22527.9 |
| 2097 | 2025-11-24 15:59:57 | ware | 1 | 13983 | 36 | 0.593 | 23580.1 |
| 2096 | 2025-11-22 21:59:43 | ware | 1 | 13983 | 36 | 0.953 | 14672.6 |
| 2095 | 2025-11-22 21:50:39 | ware | 2 | 29872 | 544 | 0.936 | 31914.5 |
| 2094 | 2025-11-20 04:13:32 | ware | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 2093 | 2025-11-20 04:13:24 | ware | 1 | 13983 | 36 | 0.296 | 47239.9 |
| 2092 | 2025-11-19 09:54:26 | ware | 2 | 29872 | 544 | 1.780 | 16782.0 |
| 2091 | 2025-11-18 06:47:31 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2090 | 2025-11-17 18:30:23 | ware | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 2089 | 2025-11-16 18:20:41 | ware | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 2088 | 2025-11-16 18:20:29 | ware | 2 | 29872 | 544 | 0.780 | 38297.4 |
| 2087 | 2025-11-16 08:05:36 | ware | 1 | 13983 | 36 | 0.266 | 52567.7 |
| 2086 | 2025-11-16 00:44:49 | ware | 1 | 13983 | 36 | 0.656 | 21315.5 |
| 2085 | 2025-11-13 16:24:11 | ware | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 2084 | 2025-11-12 20:02:37 | ware | 1 | 13983 | 36 | 0.266 | 52567.7 |
| 2083 | 2025-11-11 14:32:46 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2082 | 2025-11-11 14:32:46 | ware | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 2081 | 2025-11-11 14:32:43 | ware | 1 | 13983 | 36 | 0.313 | 44674.1 |
| 2080 | 2025-11-09 21:29:17 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2079 | 2025-11-09 15:04:16 | ware | 1 | 13983 | 36 | 0.236 | 59250.0 |
| 2078 | 2025-11-09 09:46:29 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2077 | 2025-11-08 23:26:36 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2076 | 2025-11-07 22:35:50 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2075 | 2025-11-07 14:21:31 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2074 | 2025-11-07 01:47:03 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2073 | 2025-11-02 10:44:47 | ware | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 2072 | 2025-11-01 06:46:22 | ware | 1 | 13983 | 36 | 0.266 | 52567.7 |
| 2071 | 2025-10-30 08:00:01 | ware | 1 | 13983 | 36 | 1.000 | 13983.0 |
| 2070 | 2025-10-30 07:59:52 | ware | 1 | 13983 | 36 | 0.986 | 14181.5 |
| 2069 | 2025-10-30 07:59:41 | ware | 1 | 13983 | 36 | 0.923 | 15149.5 |
| 2068 | 2025-10-30 07:59:31 | ware | 1 | 13983 | 36 | 0.970 | 14415.5 |
| 2067 | 2025-10-28 16:35:31 | ware | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 2066 | 2025-10-27 09:00:56 | ware | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 2065 | 2025-10-25 15:45:20 | ware | 1 | 13983 | 36 | 0.266 | 52567.7 |
| 2064 | 2025-10-25 03:33:30 | ware | 1 | 13983 | 36 | 0.500 | 27966.0 |
| 2063 | 2025-10-24 12:51:59 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2062 | 2025-10-23 11:36:01 | ware | 1 | 13983 | 36 | 0.940 | 14875.5 |
| 2061 | 2025-10-22 22:58:48 | ware | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 2060 | 2025-10-19 10:05:13 | ware | 2 | 29872 | 544 | 2.060 | 14501.0 |
| 2059 | 2025-10-19 10:04:56 | ware | 2 | 29872 | 544 | 5.360 | 5573.1 |
| 2058 | 2025-10-19 10:04:46 | ware | 2 | 29872 | 544 | 2.390 | 12498.7 |
| 2057 | 2025-10-19 10:04:38 | ware | 2 | 29872 | 544 | 3.173 | 9414.4 |
| 2056 | 2025-10-19 09:33:35 | ware | 1 | 13983 | 36 | 0.580 | 24108.6 |
| 2055 | 2025-10-12 08:10:01 | ware | 1 | 13983 | 36 | 0.263 | 53167.3 |
| 2054 | 2025-10-11 20:51:44 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2053 | 2025-10-09 22:28:13 | ware | 1 | 13983 | 36 | 0.326 | 42892.6 |
| 2052 | 2025-10-09 15:33:41 | ware | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 2051 | 2025-10-09 10:33:30 | ware | 1 | 13983 | 36 | 0.236 | 59250.0 |
| 2050 | 2025-10-08 14:39:21 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2049 | 2025-10-07 23:34:20 | ware | 1 | 13983 | 36 | 0.266 | 52567.7 |
| 2048 | 2025-10-07 02:37:35 | ware | 1 | 13983 | 36 | 0.263 | 53167.3 |
| 2047 | 2025-10-05 21:35:05 | ware | 2 | 29872 | 544 | 0.953 | 31345.2 |
| 2046 | 2025-10-05 04:33:12 | ware | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 2045 | 2025-10-01 23:31:38 | ware | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 2044 | 2025-09-29 07:55:05 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2043 | 2025-09-27 21:25:53 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2042 | 2025-09-27 14:17:55 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2041 | 2025-09-26 09:20:14 | ware | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 2040 | 2025-09-24 21:48:34 | ware | 1 | 13983 | 36 | 0.856 | 16335.3 |
| 2039 | 2025-09-24 21:48:20 | ware | 1 | 13983 | 36 | 0.280 | 49939.3 |
| 2038 | 2025-09-24 21:48:10 | ware | 1 | 13983 | 36 | 1.470 | 9512.2 |
| 2037 | 2025-09-24 21:47:59 | ware | 1 | 13983 | 36 | 1.810 | 7725.4 |
| 2036 | 2025-09-24 04:26:13 | ware | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 2035 | 2025-09-23 16:03:12 | ware | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 2034 | 2025-09-19 23:24:13 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2033 | 2025-09-19 16:30:36 | ware | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 2032 | 2025-09-18 18:26:24 | ware | 1 | 13983 | 36 | 0.266 | 52567.7 |
| 2031 | 2025-09-15 00:42:33 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2030 | 2025-09-14 13:33:33 | ware | 1 | 13983 | 36 | 0.280 | 49939.3 |
| 2029 | 2025-09-14 07:17:00 | ware | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 2028 | 2025-09-12 22:48:52 | ware | 1 | 13983 | 36 | 0.236 | 59250.0 |
| 2027 | 2025-09-11 12:00:34 | ware | 1 | 13983 | 36 | 0.296 | 47239.9 |
| 2026 | 2025-09-10 04:50:32 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2025 | 2025-09-08 22:07:43 | ware | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 2024 | 2025-09-08 10:43:06 | ware | 2 | 29872 | 544 | 0.923 | 32364.0 |
| 2023 | 2025-09-07 20:34:28 | ware | 1 | 13983 | 36 | 0.266 | 52567.7 |
| 2022 | 2025-09-07 00:02:35 | ware | 2 | 29872 | 544 | 0.920 | 32469.6 |
| 2021 | 2025-09-06 23:37:05 | ware | 1 | 13983 | 36 | 0.216 | 64736.1 |
| 2020 | 2025-09-06 23:36:33 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2019 | 2025-09-06 14:20:17 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |
| 2018 | 2025-09-06 13:48:32 | ware | 1 | 13983 | 36 | 0.266 | 52567.7 |
| 2017 | 2025-09-06 10:30:06 | ware | 1 | 13983 | 36 | 0.296 | 47239.9 |
| 2016 | 2025-09-06 06:11:58 | ware | 2 | 29872 | 544 | 0.763 | 39150.7 |
| 2015 | 2025-09-05 21:37:27 | ware | 2 | 29872 | 544 | 0.843 | 35435.3 |
| 2014 | 2025-09-05 21:25:23 | ware | 1 | 13983 | 36 | 0.233 | 60012.9 |
| 2013 | 2025-09-04 13:17:21 | ware | 2 | 29872 | 544 | 0.873 | 34217.6 |
| 2012 | 2025-09-03 17:15:03 | ware | 1 | 13983 | 36 | 0.220 | 63559.1 |
| 2011 | 2025-09-03 07:49:50 | ware | 1 | 13983 | 36 | 0.236 | 59250.0 |
| 2010 | 2025-09-01 04:33:07 | ware | 1 | 13983 | 36 | 0.236 | 59250.0 |
| 2009 | 2025-09-01 01:12:10 | ware | 2 | 29872 | 544 | 0.843 | 35435.3 |
| 2008 | 2025-08-30 08:14:47 | ware | 1 | 13983 | 36 | 0.250 | 55932.0 |