History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"preadapted"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 390 | 2025-10-27 23:07:33 | preadapted | 1 | 67641 | 3 | 1.283 | 52721.0 |
| 389 | 2025-10-25 09:52:16 | preadapted | 1 | 67641 | 3 | 1.076 | 62863.4 |
| 388 | 2025-10-25 06:41:28 | preadapted | 1 | 67641 | 3 | 1.263 | 53555.8 |
| 387 | 2025-10-25 01:40:19 | preadapted | 1 | 67641 | 3 | 1.233 | 54858.9 |
| 386 | 2025-10-20 05:22:31 | preadapted | 4 | 161450 | 228 | 49.156 | 3284.4 |
| 385 | 2025-10-17 12:07:41 | preadapted | 1 | 67641 | 3 | 1.076 | 62863.4 |
| 384 | 2025-09-29 15:57:33 | preadapted | 1 | 67641 | 3 | 1.233 | 54858.9 |
| 383 | 2025-09-28 06:36:35 | preadapted | 1 | 67641 | 3 | 1.283 | 52721.0 |
| 382 | 2025-09-27 21:17:07 | preadapted | 1 | 67641 | 3 | 2.140 | 31607.9 |
| 381 | 2025-09-17 14:11:38 | preadapted | 4 | 161450 | 228 | 11.956 | 13503.7 |
| 380 | 2025-09-12 12:43:52 | preadapted | 1 | 67641 | 3 | 2.453 | 27574.8 |
| 379 | 2025-09-11 23:59:30 | preadapted | 1 | 67641 | 3 | 1.266 | 53428.9 |
| 378 | 2025-09-09 08:15:26 | preadapted | 1 | 67641 | 3 | 2.093 | 32317.7 |
| 377 | 2025-09-06 16:11:24 | preadapted | 1 | 67641 | 3 | 2.250 | 30062.7 |
| 376 | 2025-09-06 08:37:45 | preadapted | 4 | 161450 | 228 | 10.970 | 14717.4 |
| 375 | 2025-09-06 01:27:07 | preadapted | 1 | 67641 | 3 | 1.206 | 56087.1 |
| 374 | 2025-08-30 23:44:17 | preadapted | 2 | 108824 | 7 | 2.830 | 38453.7 |
| 373 | 2025-08-30 20:52:49 | preadapted | 1 | 67641 | 3 | 1.250 | 54112.8 |
| 372 | 2025-08-30 18:01:59 | preadapted | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 371 | 2025-08-29 16:24:33 | preadapted | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 370 | 2025-08-28 17:24:22 | preadapted | 3 | 140603 | 36 | 6.250 | 22496.5 |
| 369 | 2025-08-28 14:12:48 | preadapted | 2 | 108824 | 7 | 3.266 | 33320.3 |
| 368 | 2025-08-28 13:19:44 | preadapted | 3 | 140603 | 36 | 6.796 | 20689.1 |
| 367 | 2025-08-28 12:09:33 | preadapted | 1 | 67641 | 3 | 1.936 | 34938.5 |
| 366 | 2025-08-28 06:38:30 | preadapted | 1 | 67641 | 3 | 1.766 | 38301.8 |
| 365 | 2025-08-28 06:34:09 | preadapted | 1 | 67641 | 3 | 1.326 | 51011.3 |
| 364 | 2025-08-27 20:52:46 | preadapted | 1 | 67641 | 3 | 1.263 | 53555.8 |
| 363 | 2025-08-27 20:38:27 | preadapted | 4 | 161450 | 228 | 13.206 | 12225.5 |
| 362 | 2025-08-27 06:20:39 | preadapted | 3 | 140603 | 36 | 6.360 | 22107.4 |
| 361 | 2025-08-27 00:07:21 | preadapted | 3 | 140603 | 36 | 7.686 | 18293.4 |
| 360 | 2025-08-26 22:31:55 | preadapted | 3 | 140603 | 36 | 6.156 | 22840.0 |
| 359 | 2025-08-26 20:27:08 | preadapted | 3 | 140603 | 36 | 16.156 | 8702.8 |
| 358 | 2025-08-24 19:35:19 | preadapted | 3 | 140603 | 36 | 5.813 | 24187.7 |
| 357 | 2025-08-22 06:57:53 | preadapted | 4 | 161450 | 228 | 68.660 | 2351.4 |
| 356 | 2025-08-20 07:02:53 | preadapted | 4 | 161450 | 228 | 12.063 | 13383.9 |
| 355 | 2025-08-19 23:17:19 | preadapted | 4 | 161450 | 228 | 11.890 | 13578.6 |
| 354 | 2025-08-14 11:11:59 | preadapted | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 353 | 2025-08-13 13:46:15 | preadapted | 1 | 67641 | 3 | 2.313 | 29243.8 |
| 352 | 2025-08-12 03:04:04 | preadapted | 1 | 67641 | 3 | 5.343 | 12659.7 |
| 351 | 2025-08-11 23:55:48 | preadapted | 4 | 161450 | 228 | 34.976 | 4616.0 |
| 350 | 2025-08-11 23:55:48 | preadapted | 4 | 161450 | 228 | 28.803 | 5605.3 |
| 349 | 2025-08-10 11:28:57 | preadapted | 4 | 161450 | 228 | 54.846 | 2943.7 |
| 348 | 2025-08-10 07:11:30 | preadapted | 4 | 161450 | 228 | 40.953 | 3942.3 |
| 347 | 2025-08-10 04:44:17 | preadapted | 4 | 161450 | 228 | 29.796 | 5418.5 |
| 346 | 2025-08-06 21:57:38 | preadapted | 1 | 67641 | 3 | 5.156 | 13118.9 |
| 345 | 2025-08-05 22:44:09 | preadapted | 4 | 161450 | 228 | 51.470 | 3136.8 |
| 344 | 2025-07-28 04:51:54 | preadapted | 3 | 140603 | 36 | 13.936 | 10089.2 |
| 343 | 2025-07-25 09:41:16 | preadapted | 1 | 67641 | 3 | 2.703 | 25024.4 |
| 342 | 2025-07-25 05:16:39 | preadapted | 1 | 67641 | 3 | 2.953 | 22905.9 |
| 341 | 2025-07-23 20:50:25 | preadapted | 1 | 67641 | 3 | 7.580 | 8923.6 |
| 340 | 2025-07-23 09:30:48 | preadapted | 1 | 67641 | 3 | 3.360 | 20131.3 |
| 339 | 2025-07-22 23:14:31 | preadapted | 1 | 67641 | 3 | 5.736 | 11792.4 |
| 338 | 2025-07-17 14:35:07 | preadapted | 3 | 140603 | 36 | 32.563 | 4317.9 |
| 337 | 2025-07-13 20:33:05 | preadapted | 3 | 140603 | 36 | 33.656 | 4177.7 |
| 336 | 2025-07-11 05:01:00 | preadapted | 3 | 140603 | 36 | 46.113 | 3049.1 |
| 335 | 2025-07-10 01:23:58 | preadapted | 3 | 140603 | 36 | 28.080 | 5007.2 |
| 334 | 2025-07-08 14:59:53 | preadapted | 3 | 140603 | 36 | 47.456 | 2962.8 |
| 333 | 2025-07-07 10:35:38 | preadapted | 3 | 140603 | 36 | 30.203 | 4655.3 |
| 332 | 2025-07-07 01:59:16 | preadapted | 1 | 67641 | 3 | 2.530 | 26735.6 |
| 331 | 2025-07-06 20:45:08 | preadapted | 2 | 108824 | 7 | 3.703 | 29388.1 |
| 330 | 2025-07-04 14:56:54 | preadapted | 2 | 108824 | 7 | 19.610 | 5549.4 |
| 329 | 2025-07-04 01:30:16 | preadapted | 1 | 67641 | 3 | 2.830 | 23901.4 |
| 328 | 2025-06-27 09:50:00 | preadapted | 4 | 161450 | 228 | 45.613 | 3539.6 |
| 327 | 2025-06-23 21:38:46 | preadapted | 4 | 161450 | 228 | 47.830 | 3375.5 |
| 326 | 2025-06-22 16:04:42 | preadapted | 1 | 67641 | 3 | 6.766 | 9997.2 |
| 325 | 2025-06-17 05:07:52 | preadapted | 4 | 161450 | 228 | 12.110 | 13332.0 |
| 324 | 2025-06-13 21:58:41 | preadapted | 1 | 67641 | 3 | 5.703 | 11860.6 |
| 323 | 2025-06-13 06:34:16 | preadapted | 1 | 67641 | 3 | 1.250 | 54112.8 |
| 322 | 2025-06-11 20:28:37 | preadapted | 4 | 161450 | 228 | 13.390 | 12057.5 |
| 321 | 2025-06-11 04:57:14 | preadapted | 4 | 161450 | 228 | 59.333 | 2721.1 |
| 320 | 2025-06-10 13:19:37 | preadapted | 4 | 161450 | 228 | 39.236 | 4114.8 |
| 319 | 2025-06-08 14:52:52 | preadapted | 4 | 161450 | 228 | 51.800 | 3116.8 |
| 318 | 2025-06-02 05:10:39 | preadapted | 4 | 161450 | 228 | 73.483 | 2197.1 |
| 317 | 2025-05-30 04:48:46 | preadapted | 1 | 67641 | 3 | 7.000 | 9663.0 |
| 316 | 2025-05-29 00:50:46 | preadapted | 1 | 67641 | 3 | 2.563 | 26391.3 |
| 315 | 2025-05-28 05:04:29 | preadapted | 3 | 140603 | 36 | 17.516 | 8027.1 |
| 314 | 2025-05-28 02:23:23 | preadapted | 3 | 140603 | 36 | 6.250 | 22496.5 |
| 313 | 2025-05-27 00:26:33 | preadapted | 3 | 140603 | 36 | 34.440 | 4082.5 |
| 312 | 2025-05-26 13:16:00 | preadapted | 4 | 161450 | 228 | 73.346 | 2201.2 |
| 311 | 2025-05-23 23:55:41 | preadapted | 3 | 140603 | 36 | 26.516 | 5302.6 |
| 310 | 2025-05-22 16:48:12 | preadapted | 1 | 67641 | 3 | 6.296 | 10743.5 |
| 309 | 2025-05-21 21:44:56 | preadapted | 3 | 140603 | 36 | 27.750 | 5066.8 |
| 308 | 2025-05-20 04:55:29 | preadapted | 3 | 140603 | 36 | 37.283 | 3771.2 |
| 307 | 2025-05-11 21:16:17 | preadapted | 1 | 67641 | 3 | 5.733 | 11798.5 |
| 306 | 2025-05-10 21:46:51 | preadapted | 4 | 161450 | 228 | 58.046 | 2781.4 |
| 305 | 2025-05-10 10:04:12 | preadapted | 1 | 67641 | 3 | 6.186 | 10934.5 |
| 304 | 2025-05-10 04:58:33 | preadapted | 4 | 161450 | 228 | 73.346 | 2201.2 |
| 303 | 2025-05-09 12:16:51 | preadapted | 4 | 161450 | 228 | 10.843 | 14889.8 |
| 302 | 2025-05-08 14:54:57 | preadapted | 4 | 161450 | 228 | 57.753 | 2795.5 |
| 301 | 2025-05-08 12:01:11 | preadapted | 1 | 67641 | 3 | 3.110 | 21749.5 |
| 300 | 2025-05-08 06:40:01 | preadapted | 1 | 67641 | 3 | 5.813 | 11636.2 |
| 299 | 2025-05-06 17:12:13 | preadapted | 4 | 161450 | 228 | 54.143 | 2981.9 |
| 298 | 2025-04-30 00:43:53 | preadapted | 4 | 161450 | 228 | 74.253 | 2174.3 |
| 297 | 2025-04-28 18:29:49 | preadapted | 4 | 161450 | 228 | 11.203 | 14411.3 |
| 296 | 2025-04-26 13:06:46 | preadapted | 2 | 108824 | 7 | 14.206 | 7660.4 |
| 295 | 2025-04-25 00:22:34 | preadapted | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 294 | 2025-04-18 15:28:56 | preadapted | 1 | 67641 | 3 | 4.483 | 15088.3 |
| 293 | 2025-04-08 20:45:31 | preadapted | 4 | 161450 | 228 | 52.176 | 3094.3 |
| 292 | 2025-04-08 01:45:02 | preadapted | 3 | 140603 | 36 | 24.280 | 5790.9 |
| 291 | 2025-04-08 00:29:44 | preadapted | 3 | 140603 | 36 | 33.843 | 4154.6 |