History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"preadapting"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 333 | 2025-10-26 19:05:41 | preadapting | 1 | 49908 | 3 | 0.873 | 57168.4 |
| 332 | 2025-10-20 05:51:32 | preadapting | 1 | 49908 | 3 | 2.750 | 18148.4 |
| 331 | 2025-10-18 11:15:33 | preadapting | 1 | 49908 | 3 | 0.893 | 55888.0 |
| 330 | 2025-09-28 04:37:25 | preadapting | 1 | 49908 | 3 | 2.783 | 17933.2 |
| 329 | 2025-09-27 19:33:00 | preadapting | 1 | 49908 | 3 | 0.890 | 56076.4 |
| 328 | 2025-09-27 18:52:47 | preadapting | 1 | 49908 | 3 | 0.873 | 57168.4 |
| 327 | 2025-09-23 03:27:06 | preadapting | 1 | 49908 | 3 | 0.906 | 55086.1 |
| 326 | 2025-09-22 19:00:34 | preadapting | 1 | 49908 | 3 | 0.876 | 56972.6 |
| 325 | 2025-09-22 18:01:05 | preadapting | 1 | 49908 | 3 | 0.813 | 61387.5 |
| 324 | 2025-09-17 19:03:41 | preadapting | 1 | 49908 | 3 | 0.873 | 57168.4 |
| 323 | 2025-09-16 11:06:09 | preadapting | 1 | 49908 | 3 | 0.906 | 55086.1 |
| 322 | 2025-09-11 12:12:57 | preadapting | 2 | 86808 | 6 | 2.703 | 32115.4 |
| 321 | 2025-09-10 05:46:51 | preadapting | 1 | 49908 | 3 | 0.923 | 54071.5 |
| 320 | 2025-09-08 22:59:31 | preadapting | 1 | 49908 | 3 | 1.703 | 29305.9 |
| 319 | 2025-08-28 13:10:24 | preadapting | 1 | 49908 | 3 | 0.890 | 56076.4 |
| 318 | 2025-08-28 04:09:43 | preadapting | 1 | 49908 | 3 | 1.000 | 49908.0 |
| 317 | 2025-08-26 19:25:06 | preadapting | 1 | 49908 | 3 | 2.140 | 23321.5 |
| 316 | 2025-08-20 19:41:19 | preadapting | 1 | 49908 | 3 | 3.936 | 12679.9 |
| 315 | 2025-08-17 05:41:38 | preadapting | 1 | 49908 | 3 | 1.970 | 25334.0 |
| 314 | 2025-08-14 07:22:42 | preadapting | 1 | 49908 | 3 | 0.860 | 58032.6 |
| 313 | 2025-07-17 09:17:07 | preadapting | 3 | 121633 | 29 | 27.770 | 4380.0 |
| 312 | 2025-07-17 04:09:50 | preadapting | 2 | 86808 | 6 | 8.940 | 9710.1 |
| 311 | 2025-07-16 07:01:48 | preadapting | 1 | 49908 | 3 | 2.423 | 20597.6 |
| 310 | 2025-07-15 00:07:17 | preadapting | 4 | 148819 | 202 | 70.453 | 2112.3 |
| 309 | 2025-07-14 01:00:57 | preadapting | 2 | 86808 | 6 | 15.923 | 5451.7 |
| 308 | 2025-07-13 06:18:11 | preadapting | 1 | 49908 | 3 | 0.903 | 55269.1 |
| 307 | 2025-07-13 03:33:53 | preadapting | 4 | 148819 | 202 | 20.706 | 7187.2 |
| 306 | 2025-07-11 16:08:18 | preadapting | 4 | 148819 | 202 | 56.080 | 2653.7 |
| 305 | 2025-07-10 04:07:12 | preadapting | 4 | 148819 | 202 | 43.656 | 3408.9 |
| 304 | 2025-07-09 09:46:37 | preadapting | 4 | 148819 | 202 | 44.860 | 3317.4 |
| 303 | 2025-07-08 12:56:36 | preadapting | 4 | 148819 | 202 | 45.703 | 3256.2 |
| 302 | 2025-07-08 11:35:28 | preadapting | 1 | 49908 | 3 | 2.156 | 23148.4 |
| 301 | 2025-07-07 09:07:25 | preadapting | 4 | 148819 | 202 | 35.970 | 4137.3 |
| 300 | 2025-06-18 23:06:27 | preadapting | 1 | 49908 | 3 | 1.266 | 39421.8 |
| 299 | 2025-06-14 00:12:22 | preadapting | 4 | 148819 | 202 | 47.736 | 3117.5 |
| 298 | 2025-06-12 03:15:51 | preadapting | 4 | 148819 | 202 | 49.786 | 2989.2 |
| 297 | 2025-06-10 05:37:46 | preadapting | 4 | 148819 | 202 | 57.656 | 2581.2 |
| 296 | 2025-06-08 05:34:06 | preadapting | 1 | 49908 | 3 | 1.860 | 26832.3 |
| 295 | 2025-06-07 23:36:01 | preadapting | 4 | 148819 | 202 | 35.506 | 4191.4 |
| 294 | 2025-06-07 10:53:45 | preadapting | 1 | 49908 | 3 | 3.346 | 14915.7 |
| 293 | 2025-06-05 06:17:32 | preadapting | 1 | 49908 | 3 | 4.296 | 11617.3 |
| 292 | 2025-06-04 03:33:25 | preadapting | 1 | 49908 | 3 | 4.906 | 10172.8 |
| 291 | 2025-05-30 21:55:06 | preadapting | 1 | 49908 | 3 | 4.170 | 11968.3 |
| 290 | 2025-05-23 22:19:23 | preadapting | 1 | 49908 | 3 | 4.486 | 11125.3 |
| 289 | 2025-05-21 16:07:54 | preadapting | 1 | 49908 | 3 | 0.876 | 56972.6 |
| 288 | 2025-05-11 00:27:11 | preadapting | 1 | 49908 | 3 | 6.690 | 7460.1 |
| 287 | 2025-05-08 05:56:26 | preadapting | 1 | 49908 | 3 | 3.453 | 14453.5 |
| 286 | 2025-05-06 19:37:44 | preadapting | 1 | 49908 | 3 | 0.953 | 52369.4 |
| 285 | 2025-05-02 11:08:48 | preadapting | 1 | 49908 | 3 | 4.000 | 12477.0 |
| 284 | 2025-04-20 02:27:19 | preadapting | 1 | 49908 | 3 | 3.703 | 13477.7 |
| 283 | 2025-04-03 19:41:57 | preadapting | 1 | 49908 | 3 | 2.203 | 22654.6 |
| 282 | 2025-04-02 04:32:43 | preadapting | 1 | 49908 | 3 | 2.986 | 16714.0 |
| 281 | 2025-03-20 05:06:29 | preadapting | 1 | 49908 | 3 | 6.623 | 7535.6 |
| 280 | 2025-03-12 23:59:17 | preadapting | 1 | 49908 | 3 | 2.060 | 24227.2 |
| 279 | 2025-02-22 08:47:27 | preadapting | 2 | 86808 | 6 | 18.876 | 4598.9 |
| 278 | 2025-02-21 13:22:05 | preadapting | 1 | 49908 | 3 | 4.643 | 10749.1 |
| 277 | 2025-02-20 14:30:40 | preadapting | 3 | 121633 | 29 | 25.706 | 4731.7 |
| 276 | 2025-02-17 13:47:46 | preadapting | 3 | 121633 | 29 | 20.110 | 6048.4 |
| 275 | 2025-02-17 12:49:06 | preadapting | 3 | 121633 | 29 | 27.796 | 4375.9 |
| 274 | 2025-02-17 07:18:09 | preadapting | 3 | 121633 | 29 | 24.973 | 4870.6 |
| 273 | 2025-02-17 07:18:00 | preadapting | 3 | 121633 | 29 | 27.910 | 4358.0 |
| 272 | 2025-02-17 07:18:05 | preadapting | 2 | 86808 | 6 | 13.610 | 6378.3 |
| 271 | 2025-02-17 07:14:56 | preadapting | 1 | 49908 | 3 | 3.533 | 14126.2 |
| 270 | 2025-02-14 00:19:38 | preadapting | 1 | 49908 | 3 | 5.406 | 9232.0 |
| 269 | 2025-02-11 20:45:54 | preadapting | 1 | 49908 | 3 | 6.820 | 7317.9 |
| 268 | 2025-01-17 01:32:36 | preadapting | 2 | 86808 | 6 | 9.280 | 9354.3 |
| 267 | 2025-01-17 01:31:02 | preadapting | 1 | 49908 | 3 | 2.920 | 17091.8 |
| 266 | 2025-01-13 10:11:46 | preadapting | 3 | 121633 | 29 | 37.046 | 3283.3 |
| 265 | 2025-01-09 03:25:15 | preadapting | 2 | 86808 | 6 | 12.750 | 6808.5 |
| 264 | 2025-01-09 03:24:53 | preadapting | 3 | 121633 | 29 | 27.533 | 4417.7 |
| 263 | 2025-01-09 03:23:51 | preadapting | 1 | 49908 | 3 | 4.763 | 10478.3 |
| 262 | 2025-01-03 05:13:21 | preadapting | 3 | 121633 | 29 | 35.753 | 3402.0 |
| 261 | 2025-01-03 05:13:26 | preadapting | 2 | 86808 | 6 | 11.860 | 7319.4 |
| 260 | 2025-01-03 05:10:26 | preadapting | 1 | 49908 | 3 | 3.873 | 12886.1 |
| 259 | 2025-01-02 23:39:02 | preadapting | 4 | 148819 | 202 | 31.300 | 4754.6 |
| 258 | 2025-01-02 06:49:51 | preadapting | 4 | 148819 | 202 | 44.266 | 3361.9 |
| 257 | 2025-01-01 23:59:32 | preadapting | 4 | 148819 | 202 | 42.990 | 3461.7 |
| 256 | 2025-01-01 18:53:58 | preadapting | 4 | 148819 | 202 | 45.736 | 3253.9 |
| 255 | 2024-12-19 03:14:22 | preadapting | 4 | 148819 | 202 | 35.690 | 4169.8 |
| 254 | 2024-12-15 03:04:57 | preadapting | 3 | 121633 | 29 | 28.970 | 4198.6 |
| 253 | 2024-12-15 03:04:52 | preadapting | 2 | 86808 | 6 | 18.580 | 4672.1 |
| 252 | 2024-12-15 03:01:12 | preadapting | 1 | 49908 | 3 | 4.156 | 12008.7 |
| 251 | 2024-12-11 20:56:26 | preadapting | 3 | 121633 | 29 | 31.080 | 3913.5 |
| 250 | 2024-12-11 20:56:28 | preadapting | 2 | 86808 | 6 | 18.423 | 4711.9 |
| 249 | 2024-12-11 20:52:53 | preadapting | 1 | 49908 | 3 | 5.263 | 9482.8 |
| 248 | 2024-12-02 16:37:34 | preadapting | 1 | 49908 | 3 | 0.893 | 55888.0 |
| 247 | 2024-12-02 15:28:19 | preadapting | 4 | 148819 | 202 | 41.190 | 3613.0 |
| 246 | 2024-12-02 09:17:12 | preadapting | 4 | 148819 | 202 | 47.896 | 3107.1 |
| 245 | 2024-12-02 09:17:20 | preadapting | 3 | 121633 | 29 | 14.580 | 8342.5 |
| 244 | 2024-12-02 09:17:21 | preadapting | 2 | 86808 | 6 | 12.876 | 6741.8 |
| 243 | 2024-12-02 09:13:25 | preadapting | 1 | 49908 | 3 | 2.000 | 24954.0 |
| 242 | 2024-11-12 10:32:27 | preadapting | 1 | 49908 | 3 | 4.673 | 10680.1 |
| 241 | 2024-11-06 05:19:19 | preadapting | 1 | 49908 | 3 | 2.860 | 17450.3 |
| 240 | 2024-10-18 20:24:14 | preadapting | 1 | 49908 | 3 | 4.423 | 11283.7 |
| 239 | 2024-10-18 01:46:43 | preadapting | 3 | 121633 | 29 | 25.546 | 4761.3 |
| 238 | 2024-10-18 01:46:46 | preadapting | 2 | 86808 | 6 | 14.733 | 5892.1 |
| 237 | 2024-10-18 01:44:01 | preadapting | 1 | 49908 | 3 | 2.876 | 17353.3 |
| 236 | 2024-10-10 09:00:43 | preadapting | 3 | 121633 | 29 | 29.690 | 4096.8 |
| 235 | 2024-10-07 02:18:51 | preadapting | 3 | 121633 | 29 | 20.123 | 6044.5 |
| 234 | 2024-10-06 01:56:20 | preadapting | 2 | 86808 | 6 | 17.046 | 5092.6 |