History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"forecastles"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 331 | 2025-11-06 10:49:02 | forecastles | 1 | 49908 | 2 | 0.826 | 60421.3 |
| 330 | 2025-10-12 07:03:08 | forecastles | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 329 | 2025-09-18 10:08:06 | forecastles | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 328 | 2025-08-26 19:10:52 | forecastles | 2 | 86808 | 7 | 2.763 | 31418.0 |
| 327 | 2025-08-25 21:52:34 | forecastles | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 326 | 2025-08-17 04:19:39 | forecastles | 1 | 49908 | 2 | 1.936 | 25778.9 |
| 325 | 2025-07-25 05:45:19 | forecastles | 1 | 49908 | 2 | 5.580 | 8944.1 |
| 324 | 2025-07-24 05:27:48 | forecastles | 1 | 49908 | 2 | 3.860 | 12929.5 |
| 323 | 2025-07-18 17:19:31 | forecastles | 1 | 49908 | 2 | 5.076 | 9832.2 |
| 322 | 2025-07-10 22:17:38 | forecastles | 3 | 121633 | 15 | 33.050 | 3680.3 |
| 321 | 2025-07-10 16:48:42 | forecastles | 3 | 121633 | 15 | 31.610 | 3847.9 |
| 320 | 2025-07-10 13:59:56 | forecastles | 2 | 86808 | 7 | 15.376 | 5645.7 |
| 319 | 2025-07-10 12:51:33 | forecastles | 2 | 86808 | 7 | 11.953 | 7262.4 |
| 318 | 2025-07-09 15:54:47 | forecastles | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 317 | 2025-06-01 02:11:26 | forecastles | 1 | 49908 | 2 | 3.280 | 15215.9 |
| 316 | 2025-05-29 07:14:11 | forecastles | 1 | 49908 | 2 | 2.640 | 18904.5 |
| 315 | 2025-05-26 21:13:04 | forecastles | 1 | 49908 | 2 | 2.300 | 21699.1 |
| 314 | 2025-05-26 07:47:54 | forecastles | 2 | 86808 | 7 | 6.156 | 14101.4 |
| 313 | 2025-05-24 11:21:56 | forecastles | 3 | 121633 | 15 | 30.486 | 3989.8 |
| 312 | 2025-05-23 20:56:13 | forecastles | 3 | 121633 | 15 | 29.143 | 4173.7 |
| 311 | 2025-05-23 19:10:12 | forecastles | 2 | 86808 | 7 | 18.156 | 4781.2 |
| 310 | 2025-05-22 16:09:52 | forecastles | 3 | 121633 | 15 | 17.080 | 7121.4 |
| 309 | 2025-05-22 14:10:36 | forecastles | 3 | 121633 | 15 | 19.236 | 6323.2 |
| 308 | 2025-05-22 08:01:17 | forecastles | 2 | 86808 | 7 | 6.453 | 13452.3 |
| 307 | 2025-05-21 15:54:19 | forecastles | 1 | 49908 | 2 | 2.110 | 23653.1 |
| 306 | 2025-05-21 05:13:51 | forecastles | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 305 | 2025-04-24 06:17:37 | forecastles | 1 | 49908 | 2 | 4.560 | 10944.7 |
| 304 | 2025-04-23 10:19:35 | forecastles | 3 | 121633 | 15 | 31.046 | 3917.8 |
| 303 | 2025-04-18 10:30:52 | forecastles | 3 | 121633 | 15 | 17.113 | 7107.6 |
| 302 | 2025-03-24 08:36:19 | forecastles | 1 | 49908 | 2 | 2.046 | 24393.0 |
| 301 | 2025-03-22 23:23:27 | forecastles | 1 | 49908 | 2 | 4.080 | 12232.4 |
| 300 | 2025-03-22 21:58:23 | forecastles | 3 | 121633 | 15 | 32.656 | 3724.7 |
| 299 | 2025-03-22 20:47:08 | forecastles | 2 | 86808 | 7 | 12.393 | 7004.6 |
| 298 | 2025-03-22 11:36:18 | forecastles | 3 | 121633 | 15 | 21.520 | 5652.1 |
| 297 | 2025-03-22 09:16:45 | forecastles | 1 | 49908 | 2 | 2.983 | 16730.8 |
| 296 | 2025-03-22 07:09:23 | forecastles | 2 | 86808 | 7 | 15.050 | 5768.0 |
| 295 | 2025-03-22 00:32:47 | forecastles | 4 | 148819 | 68 | 29.986 | 4962.9 |
| 294 | 2025-03-22 00:17:33 | forecastles | 4 | 148819 | 68 | 67.393 | 2208.2 |
| 293 | 2025-03-20 20:03:10 | forecastles | 4 | 148819 | 68 | 9.326 | 15957.4 |
| 292 | 2025-03-18 01:39:30 | forecastles | 4 | 148819 | 68 | 32.300 | 4607.4 |
| 291 | 2025-03-13 07:27:01 | forecastles | 1 | 49908 | 2 | 2.046 | 24393.0 |
| 290 | 2025-03-13 01:46:45 | forecastles | 4 | 148819 | 68 | 49.300 | 3018.6 |
| 289 | 2025-03-11 07:48:16 | forecastles | 4 | 148819 | 68 | 49.723 | 2993.0 |
| 288 | 2025-03-01 14:11:46 | forecastles | 1 | 49908 | 2 | 3.170 | 15743.8 |
| 287 | 2025-02-19 17:48:46 | forecastles | 1 | 49908 | 2 | 3.936 | 12679.9 |
| 286 | 2025-02-18 11:43:29 | forecastles | 4 | 148819 | 68 | 56.490 | 2634.4 |
| 285 | 2025-02-07 18:24:47 | forecastles | 3 | 121633 | 15 | 24.440 | 4976.8 |
| 284 | 2025-02-07 18:24:41 | forecastles | 2 | 86808 | 7 | 7.500 | 11574.4 |
| 283 | 2025-02-07 18:23:14 | forecastles | 1 | 49908 | 2 | 3.406 | 14653.0 |
| 282 | 2025-02-01 04:31:30 | forecastles | 4 | 148819 | 68 | 47.096 | 3159.9 |
| 281 | 2025-01-20 18:07:24 | forecastles | 4 | 148819 | 68 | 53.000 | 2807.9 |
| 280 | 2025-01-19 20:26:43 | forecastles | 4 | 148819 | 68 | 54.630 | 2724.1 |
| 279 | 2025-01-18 22:57:23 | forecastles | 4 | 148819 | 68 | 51.943 | 2865.0 |
| 278 | 2025-01-18 22:57:24 | forecastles | 4 | 148819 | 68 | 46.736 | 3184.2 |
| 277 | 2025-01-16 21:11:11 | forecastles | 3 | 121633 | 15 | 17.656 | 6889.0 |
| 276 | 2025-01-16 21:10:52 | forecastles | 3 | 121633 | 15 | 29.423 | 4133.9 |
| 275 | 2025-01-16 21:11:00 | forecastles | 2 | 86808 | 7 | 9.953 | 8721.8 |
| 274 | 2025-01-16 21:08:24 | forecastles | 1 | 49908 | 2 | 2.910 | 17150.5 |
| 273 | 2025-01-16 13:40:35 | forecastles | 3 | 121633 | 15 | 35.766 | 3400.8 |
| 272 | 2025-01-13 02:13:55 | forecastles | 1 | 49908 | 2 | 3.983 | 12530.3 |
| 271 | 2025-01-12 19:50:15 | forecastles | 1 | 49908 | 2 | 4.093 | 12193.5 |
| 270 | 2024-12-31 18:08:36 | forecastles | 2 | 86808 | 7 | 11.640 | 7457.7 |
| 269 | 2024-12-31 18:05:43 | forecastles | 1 | 49908 | 2 | 6.093 | 8191.0 |
| 268 | 2024-12-17 09:02:29 | forecastles | 3 | 121633 | 15 | 34.160 | 3560.7 |
| 267 | 2024-12-17 09:02:30 | forecastles | 2 | 86808 | 7 | 18.546 | 4680.7 |
| 266 | 2024-12-17 08:57:52 | forecastles | 1 | 49908 | 2 | 4.250 | 11743.1 |
| 265 | 2024-12-12 07:31:20 | forecastles | 1 | 49908 | 2 | 3.846 | 12976.6 |
| 264 | 2024-11-29 13:28:28 | forecastles | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 263 | 2024-11-26 22:35:12 | forecastles | 3 | 121633 | 15 | 29.046 | 4187.6 |
| 262 | 2024-11-26 22:34:58 | forecastles | 3 | 121633 | 15 | 13.500 | 9009.9 |
| 261 | 2024-11-19 01:33:23 | forecastles | 3 | 121633 | 15 | 41.550 | 2927.4 |
| 260 | 2024-11-19 01:29:49 | forecastles | 1 | 49908 | 2 | 2.000 | 24954.0 |
| 259 | 2024-11-16 10:26:35 | forecastles | 4 | 148819 | 68 | 49.373 | 3014.2 |
| 258 | 2024-11-14 00:38:55 | forecastles | 4 | 148819 | 68 | 54.890 | 2711.2 |
| 257 | 2024-11-10 00:28:25 | forecastles | 1 | 49908 | 2 | 2.906 | 17174.1 |
| 256 | 2024-11-07 15:26:23 | forecastles | 3 | 121633 | 15 | 27.313 | 4453.3 |
| 255 | 2024-11-07 15:26:13 | forecastles | 2 | 86808 | 7 | 9.563 | 9077.5 |
| 254 | 2024-10-30 00:48:40 | forecastles | 2 | 86808 | 7 | 6.533 | 13287.6 |
| 253 | 2024-10-30 00:47:53 | forecastles | 4 | 148819 | 68 | 35.030 | 4248.3 |
| 252 | 2024-10-30 00:46:39 | forecastles | 1 | 49908 | 2 | 2.720 | 18348.5 |
| 251 | 2024-10-26 17:21:45 | forecastles | 3 | 121633 | 15 | 25.783 | 4717.6 |
| 250 | 2024-10-26 12:38:15 | forecastles | 4 | 148819 | 68 | 43.690 | 3406.2 |
| 249 | 2024-10-26 04:22:45 | forecastles | 2 | 86808 | 7 | 7.686 | 11294.3 |
| 248 | 2024-10-24 01:14:40 | forecastles | 4 | 148819 | 68 | 49.143 | 3028.3 |
| 247 | 2024-10-24 00:05:44 | forecastles | 3 | 121633 | 15 | 23.783 | 5114.3 |
| 246 | 2024-10-24 00:05:20 | forecastles | 4 | 148819 | 68 | 44.613 | 3335.8 |
| 245 | 2024-10-24 00:05:32 | forecastles | 2 | 86808 | 7 | 13.516 | 6422.6 |
| 244 | 2024-10-22 03:07:56 | forecastles | 1 | 49908 | 2 | 5.280 | 9452.3 |
| 243 | 2024-10-15 05:56:54 | forecastles | 3 | 121633 | 15 | 26.250 | 4633.6 |
| 242 | 2024-10-14 05:20:38 | forecastles | 3 | 121633 | 15 | 27.080 | 4491.6 |
| 241 | 2024-09-21 16:05:25 | forecastles | 2 | 86808 | 7 | 16.410 | 5289.9 |
| 240 | 2024-09-21 16:03:09 | forecastles | 1 | 49908 | 2 | 5.656 | 8823.9 |
| 239 | 2024-09-09 17:20:29 | forecastles | 1 | 49908 | 2 | 9.096 | 5486.8 |
| 238 | 2024-09-04 19:48:01 | forecastles | 3 | 121633 | 15 | 53.830 | 2259.6 |
| 237 | 2024-09-04 05:41:17 | forecastles | 3 | 121633 | 15 | 42.673 | 2850.4 |
| 236 | 2024-09-03 07:43:59 | forecastles | 3 | 121633 | 15 | 59.563 | 2042.1 |
| 235 | 2024-09-01 13:54:48 | forecastles | 4 | 148819 | 68 | 78.003 | 1907.9 |
| 234 | 2024-09-01 13:54:51 | forecastles | 3 | 121633 | 15 | 44.533 | 2731.3 |
| 233 | 2024-09-01 13:55:09 | forecastles | 2 | 86808 | 7 | 24.813 | 3498.5 |
| 232 | 2024-09-01 13:49:21 | forecastles | 1 | 49908 | 2 | 2.580 | 19344.2 |