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 |
| 2153 | 2026-02-25 01:40:07 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2152 | 2026-02-24 17:00:44 | sets | 2 | 29872 | 546 | 0.986 | 30296.1 |
| 2151 | 2026-02-20 10:41:11 | sets | 1 | 13983 | 33 | 0.533 | 26234.5 |
| 2150 | 2026-02-18 02:54:47 | sets | 1 | 13983 | 33 | 1.656 | 8443.8 |
| 2149 | 2026-02-18 01:09:36 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2148 | 2026-02-16 15:22:50 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2147 | 2026-02-14 04:14:00 | sets | 1 | 13983 | 33 | 0.263 | 53167.3 |
| 2146 | 2026-02-12 15:09:02 | sets | 1 | 13983 | 33 | 1.220 | 11461.5 |
| 2145 | 2026-02-12 15:08:43 | sets | 1 | 13983 | 33 | 1.843 | 7587.1 |
| 2144 | 2026-02-08 12:06:56 | sets | 1 | 13983 | 33 | 0.280 | 49939.3 |
| 2143 | 2026-02-07 09:04:54 | sets | 1 | 13983 | 33 | 0.233 | 60012.9 |
| 2142 | 2026-02-03 06:54:11 | sets | 2 | 29872 | 546 | 0.800 | 37340.0 |
| 2141 | 2026-02-02 13:21:31 | sets | 2 | 29872 | 546 | 0.953 | 31345.2 |
| 2140 | 2026-02-01 03:40:11 | sets | 1 | 13983 | 33 | 0.280 | 49939.3 |
| 2139 | 2026-01-31 12:48:15 | sets | 1 | 13983 | 33 | 0.670 | 20870.1 |
| 2138 | 2026-01-30 23:05:20 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2137 | 2026-01-30 22:28:40 | sets | 1 | 13983 | 33 | 1.466 | 9538.2 |
| 2136 | 2026-01-29 11:07:12 | sets | 1 | 13983 | 33 | 0.533 | 26234.5 |
| 2135 | 2026-01-29 10:49:07 | sets | 2 | 29872 | 546 | 0.906 | 32971.3 |
| 2134 | 2026-01-27 00:58:17 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2133 | 2026-01-26 22:05:09 | sets | 1 | 13983 | 33 | 0.236 | 59250.0 |
| 2132 | 2026-01-26 11:56:42 | sets | 2 | 29872 | 546 | 1.360 | 21964.7 |
| 2131 | 2026-01-26 06:32:00 | sets | 2 | 29872 | 546 | 1.420 | 21036.6 |
| 2130 | 2026-01-26 04:34:35 | sets | 2 | 29872 | 546 | 1.813 | 16476.6 |
| 2129 | 2026-01-26 04:32:04 | sets | 2 | 29872 | 546 | 0.813 | 36742.9 |
| 2128 | 2026-01-25 21:39:40 | sets | 2 | 29872 | 546 | 0.796 | 37527.6 |
| 2127 | 2026-01-25 12:33:23 | sets | 1 | 13983 | 33 | 0.263 | 53167.3 |
| 2126 | 2026-01-25 09:32:09 | sets | 2 | 29872 | 546 | 4.263 | 7007.3 |
| 2125 | 2026-01-25 09:17:44 | sets | 2 | 29872 | 546 | 4.546 | 6571.1 |
| 2124 | 2026-01-24 21:39:16 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2123 | 2026-01-21 20:39:19 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2122 | 2026-01-20 00:52:50 | sets | 2 | 29872 | 546 | 0.936 | 31914.5 |
| 2121 | 2026-01-18 16:42:14 | sets | 2 | 29872 | 546 | 0.873 | 34217.6 |
| 2120 | 2026-01-17 04:27:46 | sets | 1 | 13983 | 33 | 0.266 | 52567.7 |
| 2119 | 2026-01-15 23:47:00 | sets | 2 | 29872 | 546 | 1.483 | 20143.0 |
| 2118 | 2026-01-14 16:08:50 | sets | 2 | 29872 | 546 | 0.796 | 37527.6 |
| 2117 | 2026-01-13 22:45:44 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2116 | 2026-01-10 20:56:08 | sets | 1 | 13983 | 33 | 0.250 | 55932.0 |
| 2115 | 2026-01-10 17:29:34 | sets | 2 | 29872 | 546 | 2.486 | 12016.1 |
| 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 |