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 |
| 2114 | 2026-01-09 02:25:52 | sets | 2 | 29872 | 546 | 0.843 | 35435.3 |
| 2113 | 2026-01-08 07:33:11 | sets | 2 | 29872 | 546 | 1.720 | 17367.4 |
| 2112 | 2026-01-08 03:18:28 | sets | 1 | 13983 | 33 | 0.313 | 44674.1 |
| 2111 | 2026-01-08 00:22:17 | sets | 1 | 13983 | 33 | 0.263 | 53167.3 |
| 2110 | 2026-01-07 05:36:32 | sets | 2 | 29872 | 546 | 3.016 | 9904.5 |
| 2109 | 2026-01-06 20:19:25 | sets | 1 | 13983 | 33 | 0.263 | 53167.3 |
| 2108 | 2026-01-06 14:18:34 | sets | 2 | 29872 | 546 | 0.843 | 35435.3 |
| 2107 | 2026-01-06 00:41:11 | sets | 1 | 13983 | 33 | 0.703 | 19890.5 |
| 2106 | 2026-01-05 20:41:34 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2105 | 2026-01-05 02:21:25 | sets | 2 | 29872 | 546 | 0.890 | 33564.0 |
| 2104 | 2026-01-04 23:46:25 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2103 | 2026-01-04 18:44:17 | sets | 1 | 13983 | 33 | 0.283 | 49409.9 |
| 2102 | 2026-01-04 04:11:22 | sets | 2 | 29872 | 546 | 0.796 | 37527.6 |
| 2101 | 2026-01-03 16:55:36 | sets | 2 | 29872 | 546 | 0.890 | 33564.0 |
| 2100 | 2026-01-03 05:45:17 | sets | 2 | 29872 | 546 | 0.953 | 31345.2 |
| 2099 | 2026-01-02 07:13:40 | sets | 2 | 29872 | 546 | 1.813 | 16476.6 |
| 2098 | 2025-12-31 04:08:14 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2097 | 2025-12-30 23:30:31 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2096 | 2025-12-30 18:25:17 | sets | 2 | 29872 | 546 | 0.890 | 33564.0 |
| 2095 | 2025-12-30 05:50:43 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2094 | 2025-12-29 20:06:55 | sets | 2 | 29872 | 546 | 0.920 | 32469.6 |
| 2093 | 2025-12-28 23:56:43 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2092 | 2025-12-27 22:17:28 | sets | 2 | 29872 | 546 | 1.656 | 18038.6 |
| 2091 | 2025-12-26 22:07:09 | sets | 2 | 29872 | 546 | 2.580 | 11578.3 |
| 2090 | 2025-12-24 21:07:11 | sets | 2 | 29872 | 546 | 0.890 | 33564.0 |
| 2089 | 2025-12-24 19:58:56 | sets | 1 | 13983 | 33 | 0.466 | 30006.4 |
| 2088 | 2025-12-22 19:59:05 | sets | 2 | 29872 | 546 | 1.000 | 29872.0 |
| 2087 | 2025-12-19 13:55:30 | sets | 2 | 29872 | 546 | 0.923 | 32364.0 |
| 2086 | 2025-12-19 10:36:51 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2085 | 2025-12-18 11:55:08 | sets | 2 | 29872 | 546 | 4.126 | 7239.9 |
| 2084 | 2025-12-18 11:19:14 | sets | 2 | 29872 | 546 | 0.936 | 31914.5 |
| 2083 | 2025-12-17 16:11:52 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2082 | 2025-12-15 19:16:52 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2081 | 2025-12-14 08:11:21 | sets | 2 | 29872 | 546 | 0.936 | 31914.5 |
| 2080 | 2025-12-14 04:03:36 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2079 | 2025-12-13 22:23:33 | sets | 1 | 13983 | 33 | 0.610 | 22923.0 |
| 2078 | 2025-12-11 03:26:34 | sets | 1 | 13983 | 33 | 0.220 | 63559.1 |
| 2077 | 2025-12-10 09:34:36 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2076 | 2025-12-10 09:33:35 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2075 | 2025-12-08 08:41:01 | sets | 1 | 13983 | 33 | 0.280 | 49939.3 |
| 2074 | 2025-12-07 03:56:47 | sets | 2 | 29872 | 546 | 2.936 | 10174.4 |
| 2073 | 2025-12-06 15:15:37 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2072 | 2025-12-06 15:14:01 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2071 | 2025-12-05 17:30:31 | sets | 1 | 13983 | 33 | 0.236 | 59250.0 |
| 2070 | 2025-12-02 21:50:51 | sets | 1 | 13983 | 33 | 0.716 | 19529.3 |
| 2069 | 2025-12-02 21:50:33 | sets | 1 | 13983 | 33 | 1.313 | 10649.7 |
| 2068 | 2025-12-02 20:58:12 | sets | 1 | 13983 | 33 | 0.283 | 49409.9 |
| 2067 | 2025-12-01 15:56:49 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2066 | 2025-11-30 10:02:46 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2065 | 2025-11-30 01:51:22 | sets | 2 | 29872 | 546 | 0.923 | 32364.0 |
| 2064 | 2025-11-29 03:27:10 | sets | 2 | 29872 | 546 | 0.923 | 32364.0 |
| 2063 | 2025-11-28 04:38:11 | sets | 2 | 29872 | 546 | 1.846 | 16182.0 |
| 2062 | 2025-11-27 03:08:34 | sets | 2 | 29872 | 546 | 0.810 | 36879.0 |
| 2061 | 2025-11-23 18:08:49 | sets | 1 | 13983 | 33 | 0.263 | 53167.3 |
| 2060 | 2025-11-23 01:10:51 | sets | 2 | 29872 | 546 | 0.906 | 32971.3 |
| 2059 | 2025-11-21 21:55:28 | sets | 1 | 13983 | 33 | 0.283 | 49409.9 |
| 2058 | 2025-11-19 22:43:17 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2057 | 2025-11-18 06:49:58 | sets | 1 | 13983 | 33 | 0.233 | 60012.9 |
| 2056 | 2025-11-15 15:27:52 | sets | 1 | 13983 | 33 | 0.533 | 26234.5 |
| 2055 | 2025-11-15 02:14:20 | sets | 1 | 13983 | 33 | 0.436 | 32071.1 |
| 2054 | 2025-11-14 12:20:11 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2053 | 2025-11-13 17:13:19 | sets | 1 | 13983 | 33 | 0.280 | 49939.3 |
| 2052 | 2025-11-10 21:09:00 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2051 | 2025-11-03 14:34:00 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2050 | 2025-10-29 04:25:36 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 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 |