History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cubes"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
2264 | 2025-08-09 14:47:12 | cubes | 1 | 28756 | 17 | 1.360 | 21144.1 |
2263 | 2025-08-03 02:39:02 | cubes | 2 | 53800 | 238 | 9.720 | 5535.0 |
2262 | 2025-08-01 17:47:15 | cubes | 2 | 53800 | 238 | 5.310 | 10131.8 |
2261 | 2025-07-31 06:10:25 | cubes | 1 | 28756 | 17 | 0.516 | 55728.7 |
2260 | 2025-07-31 03:58:16 | cubes | 1 | 28756 | 17 | 0.813 | 35370.2 |
2259 | 2025-07-27 01:54:41 | cubes | 1 | 28756 | 17 | 3.170 | 9071.3 |
2258 | 2025-07-23 13:08:09 | cubes | 1 | 28756 | 17 | 2.376 | 12102.7 |
2257 | 2025-07-22 17:12:36 | cubes | 1 | 28756 | 17 | 1.156 | 24875.4 |
2256 | 2025-07-22 02:37:18 | cubes | 1 | 28756 | 17 | 0.686 | 41918.4 |
2255 | 2025-07-16 22:11:52 | cubes | 2 | 53800 | 238 | 3.313 | 16239.1 |
2254 | 2025-07-16 11:27:35 | cubes | 1 | 28756 | 17 | 0.453 | 63479.0 |
2253 | 2025-07-16 09:15:16 | cubes | 1 | 28756 | 17 | 0.970 | 29645.4 |
2252 | 2025-07-14 05:47:38 | cubes | 2 | 53800 | 238 | 16.046 | 3352.9 |
2251 | 2025-07-13 23:22:39 | cubes | 2 | 53800 | 238 | 4.140 | 12995.2 |
2250 | 2025-07-13 03:03:26 | cubes | 1 | 28756 | 17 | 0.516 | 55728.7 |
2249 | 2025-07-11 03:56:07 | cubes | 1 | 28756 | 17 | 2.983 | 9640.0 |
2248 | 2025-07-07 13:36:41 | cubes | 1 | 28756 | 17 | 2.576 | 11163.0 |
2247 | 2025-07-02 12:58:18 | cubes | 1 | 28756 | 17 | 1.236 | 23265.4 |
2246 | 2025-07-01 14:27:38 | cubes | 1 | 28756 | 17 | 0.516 | 55728.7 |
2245 | 2025-06-28 05:21:16 | cubes | 1 | 28756 | 17 | 1.670 | 17219.2 |
2244 | 2025-06-16 12:37:52 | cubes | 1 | 28756 | 17 | 1.280 | 22465.6 |
2243 | 2025-06-13 16:13:53 | cubes | 2 | 53800 | 238 | 7.830 | 6871.0 |
2242 | 2025-06-12 01:07:53 | cubes | 2 | 53800 | 238 | 4.596 | 11705.8 |
2241 | 2025-06-10 02:49:12 | cubes | 1 | 28756 | 17 | 1.513 | 19005.9 |
2240 | 2025-06-10 02:48:47 | cubes | 1 | 28756 | 17 | 1.593 | 18051.5 |
2239 | 2025-05-31 14:07:06 | cubes | 1 | 28756 | 17 | 2.190 | 13130.6 |
2238 | 2025-05-29 04:14:28 | cubes | 1 | 28756 | 17 | 2.160 | 13313.0 |
2237 | 2025-05-29 01:08:20 | cubes | 1 | 28756 | 17 | 2.733 | 10521.8 |
2236 | 2025-05-22 15:02:50 | cubes | 2 | 53800 | 238 | 3.906 | 13773.7 |
2235 | 2025-05-21 03:11:18 | cubes | 1 | 28756 | 17 | 0.530 | 54256.6 |
2234 | 2025-05-20 04:06:41 | cubes | 1 | 28756 | 17 | 3.296 | 8724.5 |
2233 | 2025-05-17 22:27:45 | cubes | 2 | 53800 | 238 | 6.703 | 8026.3 |
2232 | 2025-05-16 12:49:01 | cubes | 1 | 28756 | 17 | 2.110 | 13628.4 |
2231 | 2025-05-13 02:29:48 | cubes | 2 | 53800 | 238 | 1.653 | 32546.9 |
2230 | 2025-05-10 02:56:34 | cubes | 1 | 28756 | 17 | 2.983 | 9640.0 |
2229 | 2025-05-05 09:26:50 | cubes | 1 | 28756 | 17 | 1.156 | 24875.4 |
2228 | 2025-05-04 15:25:58 | cubes | 1 | 28756 | 17 | 3.203 | 8977.8 |
2227 | 2025-05-02 12:41:21 | cubes | 1 | 28756 | 17 | 3.156 | 9111.5 |
2226 | 2025-04-30 16:37:31 | cubes | 2 | 53800 | 238 | 7.650 | 7032.7 |
2225 | 2025-04-30 07:10:44 | cubes | 2 | 53800 | 238 | 8.313 | 6471.8 |
2224 | 2025-04-29 13:54:54 | cubes | 1 | 28756 | 17 | 2.123 | 13545.0 |
2223 | 2025-04-28 20:05:08 | cubes | 2 | 53800 | 238 | 1.656 | 32487.9 |
2222 | 2025-04-28 05:22:23 | cubes | 1 | 28756 | 17 | 1.856 | 15493.5 |
2221 | 2025-04-27 03:40:49 | cubes | 1 | 28756 | 17 | 1.033 | 27837.4 |
2220 | 2025-04-27 03:40:49 | cubes | 1 | 28756 | 17 | 0.826 | 34813.6 |
2219 | 2025-04-16 07:34:25 | cubes | 1 | 28756 | 17 | 1.860 | 15460.2 |
2218 | 2025-04-15 22:16:00 | cubes | 2 | 53800 | 238 | 12.016 | 4477.4 |
2217 | 2025-04-14 22:56:31 | cubes | 2 | 53800 | 238 | 7.923 | 6790.4 |
2216 | 2025-04-14 13:35:03 | cubes | 1 | 28756 | 17 | 0.716 | 40162.0 |
2215 | 2025-04-08 02:28:56 | cubes | 1 | 28756 | 17 | 2.203 | 13053.1 |
2214 | 2025-03-29 16:50:34 | cubes | 1 | 28756 | 17 | 3.093 | 9297.1 |
2213 | 2025-03-16 06:03:41 | cubes | 1 | 28756 | 17 | 3.203 | 8977.8 |
2212 | 2025-03-13 03:56:56 | cubes | 1 | 28756 | 17 | 2.736 | 10510.2 |
2211 | 2025-03-10 21:18:11 | cubes | 1 | 28756 | 17 | 1.346 | 21364.0 |
2210 | 2025-03-07 16:50:22 | cubes | 1 | 28756 | 17 | 2.623 | 10963.0 |
2209 | 2025-02-27 15:28:25 | cubes | 2 | 53800 | 238 | 6.330 | 8499.2 |
2208 | 2025-02-27 15:23:48 | cubes | 1 | 28756 | 17 | 2.530 | 11366.0 |
2207 | 2025-02-26 06:56:47 | cubes | 2 | 53800 | 238 | 16.190 | 3323.0 |
2206 | 2025-02-26 05:57:21 | cubes | 1 | 28756 | 17 | 0.500 | 57512.0 |
2205 | 2025-02-22 19:14:16 | cubes | 1 | 28756 | 17 | 3.220 | 8930.4 |
2204 | 2025-02-15 17:28:10 | cubes | 2 | 53800 | 238 | 1.686 | 31909.8 |
2203 | 2025-02-10 13:39:31 | cubes | 1 | 28756 | 17 | 0.516 | 55728.7 |
2202 | 2025-01-28 12:15:46 | cubes | 2 | 53800 | 238 | 7.140 | 7535.0 |
2201 | 2025-01-28 10:55:53 | cubes | 2 | 53800 | 238 | 6.483 | 8298.6 |
2200 | 2025-01-28 10:11:36 | cubes | 1 | 28756 | 17 | 0.533 | 53951.2 |
2199 | 2025-01-27 00:23:31 | cubes | 2 | 53800 | 238 | 2.533 | 21239.6 |
2198 | 2025-01-27 00:23:26 | cubes | 1 | 28756 | 17 | 0.906 | 31739.5 |
2197 | 2025-01-23 18:31:48 | cubes | 1 | 28756 | 17 | 1.593 | 18051.5 |
2196 | 2025-01-06 00:58:49 | cubes | 1 | 28756 | 17 | 2.046 | 14054.7 |
2195 | 2024-12-29 07:17:27 | cubes | 1 | 28756 | 17 | 1.893 | 15190.7 |
2194 | 2024-12-28 12:39:27 | cubes | 2 | 53800 | 238 | 3.796 | 14172.8 |
2193 | 2024-12-28 05:14:35 | cubes | 2 | 53800 | 238 | 9.796 | 5492.0 |
2192 | 2024-12-27 17:51:33 | cubes | 2 | 53800 | 238 | 12.000 | 4483.3 |
2191 | 2024-12-27 15:42:49 | cubes | 2 | 53800 | 238 | 5.890 | 9134.1 |
2190 | 2024-12-27 15:05:23 | cubes | 1 | 28756 | 17 | 0.516 | 55728.7 |
2189 | 2024-12-27 13:13:51 | cubes | 1 | 28756 | 17 | 3.686 | 7801.4 |
2188 | 2024-12-26 19:35:13 | cubes | 1 | 28756 | 17 | 2.466 | 11661.0 |
2187 | 2024-12-24 18:07:01 | cubes | 1 | 28756 | 17 | 3.033 | 9481.0 |
2186 | 2024-12-10 05:05:37 | cubes | 1 | 28756 | 17 | 3.326 | 8645.8 |
2185 | 2024-12-08 05:08:58 | cubes | 1 | 28756 | 17 | 3.000 | 9585.3 |
2184 | 2024-12-07 01:28:26 | cubes | 1 | 28756 | 17 | 2.593 | 11089.9 |
2183 | 2024-11-29 06:52:48 | cubes | 1 | 28756 | 17 | 0.516 | 55728.7 |
2182 | 2024-11-27 08:29:53 | cubes | 1 | 28756 | 17 | 0.983 | 29253.3 |
2181 | 2024-11-27 05:13:29 | cubes | 2 | 53800 | 238 | 7.283 | 7387.1 |
2180 | 2024-11-27 03:52:38 | cubes | 2 | 53800 | 238 | 3.750 | 14346.7 |
2179 | 2024-11-24 17:03:37 | cubes | 1 | 28756 | 17 | 1.140 | 25224.6 |
2178 | 2024-11-06 22:34:55 | cubes | 2 | 53800 | 238 | 6.763 | 7955.0 |
2177 | 2024-11-06 21:33:28 | cubes | 1 | 28756 | 17 | 3.296 | 8724.5 |
2176 | 2024-10-29 20:43:13 | cubes | 1 | 28756 | 17 | 0.516 | 55728.7 |
2175 | 2024-10-28 08:34:10 | cubes | 2 | 53800 | 238 | 11.563 | 4652.8 |
2174 | 2024-10-28 02:27:36 | cubes | 1 | 28756 | 17 | 0.513 | 56054.6 |
2173 | 2024-10-28 00:49:04 | cubes | 2 | 53800 | 238 | 9.220 | 5835.1 |
2172 | 2024-10-25 15:09:47 | cubes | 1 | 28756 | 17 | 2.190 | 13130.6 |
2171 | 2024-10-25 13:47:39 | cubes | 1 | 28756 | 17 | 1.186 | 24246.2 |
2170 | 2024-10-25 02:15:57 | cubes | 1 | 28756 | 17 | 2.766 | 10396.2 |
2169 | 2024-10-24 13:48:43 | cubes | 1 | 28756 | 17 | 1.406 | 20452.3 |
2168 | 2024-10-16 20:23:23 | cubes | 1 | 28756 | 17 | 2.750 | 10456.7 |
2167 | 2024-10-07 21:26:59 | cubes | 1 | 28756 | 17 | 3.250 | 8848.0 |
2166 | 2024-09-29 16:49:39 | cubes | 1 | 28756 | 17 | 0.470 | 61183.0 |
2165 | 2024-09-28 19:48:37 | cubes | 2 | 53800 | 238 | 8.660 | 6212.5 |