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 |
2234 | 2025-06-05 21:06:33 | best | 1 | 13983 | 27 | 0.453 | 30867.5 |
2233 | 2025-05-31 08:12:10 | best | 2 | 29872 | 344 | 4.030 | 7412.4 |
2232 | 2025-05-31 06:13:43 | best | 2 | 29872 | 344 | 4.546 | 6571.1 |
2231 | 2025-05-29 15:34:37 | best | 1 | 13983 | 27 | 0.610 | 22923.0 |
2230 | 2025-05-29 08:04:27 | best | 2 | 29872 | 344 | 2.813 | 10619.3 |
2229 | 2025-05-28 22:54:27 | best | 1 | 13983 | 27 | 1.373 | 10184.3 |
2228 | 2025-05-27 23:00:45 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2227 | 2025-05-27 22:23:54 | best | 1 | 13983 | 27 | 0.236 | 59250.0 |
2226 | 2025-05-24 14:03:47 | best | 2 | 29872 | 344 | 4.063 | 7352.2 |
2225 | 2025-05-20 04:59:11 | best | 2 | 29872 | 344 | 3.326 | 8981.4 |
2224 | 2025-05-17 11:49:20 | best | 2 | 29872 | 344 | 4.626 | 6457.4 |
2223 | 2025-05-10 05:29:31 | best | 1 | 13983 | 27 | 0.466 | 30006.4 |
2222 | 2025-05-09 11:57:25 | best | 1 | 13983 | 27 | 0.216 | 64736.1 |
2221 | 2025-05-08 17:06:19 | best | 2 | 29872 | 344 | 2.376 | 12572.4 |
2220 | 2025-05-07 00:24:35 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2219 | 2025-05-05 21:34:23 | best | 1 | 13983 | 27 | 1.640 | 8526.2 |
2218 | 2025-05-03 03:07:21 | best | 1 | 13983 | 27 | 0.516 | 27098.8 |
2217 | 2025-05-01 09:34:51 | best | 1 | 13983 | 27 | 1.500 | 9322.0 |
2216 | 2025-04-28 15:32:03 | best | 1 | 13983 | 27 | 0.906 | 15433.8 |
2215 | 2025-04-27 22:44:08 | best | 1 | 13983 | 27 | 1.626 | 8599.6 |
2214 | 2025-04-26 23:55:28 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2213 | 2025-04-26 23:49:20 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2212 | 2025-04-26 23:37:57 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2211 | 2025-04-14 12:41:31 | best | 1 | 13983 | 27 | 0.953 | 14672.6 |
2210 | 2025-04-11 00:11:09 | best | 1 | 13983 | 27 | 1.170 | 11951.3 |
2209 | 2025-04-09 05:36:22 | best | 1 | 13983 | 27 | 1.953 | 7159.8 |
2208 | 2025-04-06 12:36:11 | best | 2 | 29872 | 344 | 4.110 | 7268.1 |
2207 | 2025-04-05 20:59:45 | best | 1 | 13983 | 27 | 0.546 | 25609.9 |
2206 | 2025-04-04 15:28:55 | best | 2 | 29872 | 344 | 4.220 | 7078.7 |
2205 | 2025-03-31 11:02:58 | best | 1 | 13983 | 27 | 0.280 | 49939.3 |
2204 | 2025-03-27 23:57:07 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2203 | 2025-03-27 18:16:11 | best | 1 | 13983 | 27 | 0.920 | 15198.9 |
2202 | 2025-03-21 00:36:26 | best | 2 | 29872 | 344 | 5.953 | 5018.0 |
2201 | 2025-03-20 07:47:15 | best | 2 | 29872 | 344 | 3.766 | 7932.0 |
2200 | 2025-03-19 00:22:03 | best | 2 | 29872 | 344 | 0.766 | 38997.4 |
2199 | 2025-03-14 20:47:48 | best | 1 | 13983 | 27 | 0.906 | 15433.8 |
2198 | 2025-03-12 23:11:05 | best | 2 | 29872 | 344 | 4.406 | 6779.8 |
2197 | 2025-03-12 16:55:14 | best | 2 | 29872 | 344 | 5.406 | 5525.7 |
2196 | 2025-03-12 05:50:46 | best | 2 | 29872 | 344 | 2.216 | 13480.1 |
2195 | 2025-03-10 04:49:47 | best | 1 | 13983 | 27 | 1.280 | 10924.2 |
2194 | 2025-03-06 15:50:15 | best | 1 | 13983 | 27 | 0.296 | 47239.9 |
2193 | 2025-03-02 15:36:03 | best | 1 | 13983 | 27 | 0.690 | 20265.2 |
2192 | 2025-02-26 22:08:33 | best | 2 | 29872 | 344 | 2.373 | 12588.3 |
2191 | 2025-02-25 23:48:52 | best | 2 | 29872 | 344 | 2.263 | 13200.2 |
2190 | 2025-02-25 23:21:22 | best | 1 | 13983 | 27 | 1.453 | 9623.5 |
2189 | 2025-02-25 04:21:46 | best | 2 | 29872 | 344 | 3.546 | 8424.1 |
2188 | 2025-02-25 04:14:58 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2187 | 2025-02-24 02:16:15 | best | 1 | 13983 | 27 | 0.686 | 20383.4 |
2186 | 2025-02-23 17:59:59 | best | 1 | 13983 | 27 | 1.296 | 10789.4 |
2185 | 2025-02-23 12:16:34 | best | 1 | 13983 | 27 | 0.263 | 53167.3 |
2184 | 2025-02-04 13:59:25 | best | 2 | 29872 | 344 | 4.470 | 6682.8 |
2183 | 2025-02-04 13:42:24 | best | 1 | 13983 | 27 | 0.703 | 19890.5 |
2182 | 2025-01-30 02:38:34 | best | 1 | 13983 | 27 | 0.843 | 16587.2 |
2181 | 2025-01-26 18:44:26 | best | 2 | 29872 | 344 | 4.360 | 6851.4 |
2180 | 2025-01-26 18:31:20 | best | 1 | 13983 | 27 | 1.140 | 12265.8 |
2179 | 2025-01-26 05:06:11 | best | 2 | 29872 | 344 | 6.733 | 4436.7 |
2178 | 2025-01-26 03:47:06 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2177 | 2025-01-24 02:02:36 | best | 1 | 13983 | 27 | 0.656 | 21315.5 |
2176 | 2025-01-21 15:16:42 | best | 2 | 29872 | 344 | 4.123 | 7245.2 |
2175 | 2025-01-05 11:49:52 | best | 2 | 29872 | 344 | 4.623 | 6461.6 |
2174 | 2025-01-05 11:21:01 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2173 | 2025-01-04 21:50:51 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2172 | 2024-12-27 16:48:38 | best | 1 | 13983 | 27 | 0.656 | 21315.5 |
2171 | 2024-12-27 16:02:44 | best | 2 | 29872 | 344 | 2.516 | 11872.8 |
2170 | 2024-12-27 11:33:05 | best | 2 | 29872 | 344 | 4.343 | 6878.2 |
2169 | 2024-12-27 03:12:00 | best | 2 | 29872 | 344 | 2.173 | 13746.9 |
2168 | 2024-12-27 02:41:32 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2167 | 2024-12-25 01:53:17 | best | 1 | 13983 | 27 | 1.750 | 7990.3 |
2166 | 2024-12-06 06:32:06 | best | 2 | 29872 | 344 | 4.466 | 6688.8 |
2165 | 2024-12-06 06:31:02 | best | 1 | 13983 | 27 | 2.220 | 6298.6 |
2164 | 2024-11-27 12:04:55 | best | 2 | 29872 | 344 | 5.986 | 4990.3 |
2163 | 2024-11-27 12:02:37 | best | 1 | 13983 | 27 | 0.873 | 16017.2 |
2162 | 2024-11-27 00:08:42 | best | 2 | 29872 | 344 | 6.126 | 4876.3 |
2161 | 2024-11-26 23:57:34 | best | 1 | 13983 | 27 | 0.236 | 59250.0 |
2160 | 2024-11-24 23:00:46 | best | 1 | 13983 | 27 | 1.360 | 10281.6 |
2159 | 2024-11-06 05:50:07 | best | 1 | 13983 | 27 | 0.670 | 20870.1 |
2158 | 2024-10-28 17:20:01 | best | 2 | 29872 | 344 | 3.830 | 7799.5 |
2157 | 2024-10-28 09:05:00 | best | 2 | 29872 | 344 | 4.170 | 7163.5 |
2156 | 2024-10-28 08:52:17 | best | 1 | 13983 | 27 | 0.250 | 55932.0 |
2155 | 2024-10-28 00:59:53 | best | 2 | 29872 | 344 | 4.190 | 7129.4 |
2154 | 2024-10-28 00:43:14 | best | 1 | 13983 | 27 | 0.266 | 52567.7 |
2153 | 2024-10-25 19:14:19 | best | 1 | 13983 | 27 | 0.530 | 26383.0 |
2152 | 2024-10-21 01:22:05 | best | 1 | 13983 | 27 | 1.326 | 10545.2 |
2151 | 2024-10-17 14:16:49 | best | 1 | 13983 | 27 | 0.670 | 20870.1 |
2150 | 2024-10-17 10:03:44 | best | 1 | 13983 | 27 | 0.860 | 16259.3 |
2149 | 2024-10-13 05:20:22 | best | 1 | 13983 | 27 | 1.203 | 11623.4 |
2148 | 2024-10-13 05:19:42 | best | 1 | 13983 | 27 | 0.970 | 14415.5 |
2147 | 2024-10-07 04:30:30 | best | 1 | 13983 | 27 | 1.936 | 7222.6 |
2146 | 2024-09-28 04:58:25 | best | 1 | 13983 | 27 | 0.233 | 60012.9 |
2145 | 2024-09-27 23:06:52 | best | 1 | 13983 | 27 | 1.860 | 7517.7 |
2144 | 2024-09-25 17:52:57 | best | 1 | 13983 | 27 | 1.373 | 10184.3 |
2143 | 2024-09-13 01:18:07 | best | 1 | 13983 | 27 | 1.956 | 7148.8 |
2142 | 2024-09-06 23:12:06 | best | 1 | 13983 | 27 | 1.923 | 7271.5 |
2141 | 2024-08-30 01:21:13 | best | 1 | 13983 | 27 | 1.360 | 10281.6 |
2140 | 2024-08-28 22:33:31 | best | 1 | 13983 | 27 | 1.376 | 10162.1 |
2139 | 2024-08-28 11:38:25 | best | 2 | 29872 | 344 | 9.420 | 3171.1 |
2138 | 2024-08-28 10:37:16 | best | 2 | 29872 | 344 | 6.610 | 4519.2 |
2137 | 2024-08-28 09:40:36 | best | 1 | 13983 | 27 | 0.516 | 27098.8 |
2136 | 2024-08-27 03:40:18 | best | 1 | 13983 | 27 | 1.843 | 7587.1 |
2135 | 2024-08-26 11:00:36 | best | 2 | 29872 | 344 | 3.266 | 9146.4 |