History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"preowned"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 418 | 2025-12-08 20:12:06 | preowned | 2 | 121059 | 9 | 3.436 | 35232.5 |
| 417 | 2025-12-05 09:13:18 | preowned | 1 | 82945 | 1 | 1.546 | 53651.4 |
| 416 | 2025-12-04 00:54:10 | preowned | 2 | 121059 | 9 | 3.783 | 32000.8 |
| 415 | 2025-12-02 23:45:16 | preowned | 1 | 82945 | 1 | 7.533 | 11010.9 |
| 414 | 2025-12-01 06:33:19 | preowned | 3 | 146162 | 156 | 11.750 | 12439.3 |
| 413 | 2025-12-01 05:04:49 | preowned | 1 | 82945 | 1 | 3.906 | 21235.3 |
| 412 | 2025-11-30 20:02:38 | preowned | 3 | 146162 | 156 | 14.436 | 10124.8 |
| 411 | 2025-11-26 08:32:31 | preowned | 2 | 121059 | 9 | 3.906 | 30993.1 |
| 410 | 2025-11-26 01:01:50 | preowned | 2 | 121059 | 9 | 4.500 | 26902.0 |
| 409 | 2025-11-25 23:42:59 | preowned | 1 | 82945 | 1 | 2.000 | 41472.5 |
| 408 | 2025-11-24 21:27:05 | preowned | 2 | 121059 | 9 | 5.703 | 21227.2 |
| 407 | 2025-11-24 15:29:17 | preowned | 1 | 82945 | 1 | 1.640 | 50576.2 |
| 406 | 2025-11-23 14:27:22 | preowned | 2 | 121059 | 9 | 3.500 | 34588.3 |
| 405 | 2025-11-21 17:52:53 | preowned | 3 | 146162 | 156 | 17.626 | 8292.4 |
| 404 | 2025-11-21 09:19:52 | preowned | 2 | 121059 | 9 | 7.236 | 16730.1 |
| 403 | 2025-11-20 17:35:00 | preowned | 3 | 146162 | 156 | 7.890 | 18525.0 |
| 402 | 2025-11-20 15:57:46 | preowned | 3 | 146162 | 156 | 10.780 | 13558.6 |
| 401 | 2025-11-20 07:10:35 | preowned | 1 | 82945 | 1 | 3.186 | 26034.2 |
| 400 | 2025-11-20 04:02:03 | preowned | 1 | 82945 | 1 | 2.423 | 34232.4 |
| 399 | 2025-11-19 23:39:31 | preowned | 2 | 121059 | 9 | 3.843 | 31501.2 |
| 398 | 2025-11-19 20:57:07 | preowned | 2 | 121059 | 9 | 5.940 | 20380.3 |
| 397 | 2025-11-19 10:30:21 | preowned | 3 | 146162 | 156 | 8.050 | 18156.8 |
| 396 | 2025-11-19 08:40:00 | preowned | 3 | 146162 | 156 | 8.063 | 18127.5 |
| 395 | 2025-11-19 04:35:36 | preowned | 3 | 146162 | 156 | 7.563 | 19325.9 |
| 394 | 2025-11-18 08:44:57 | preowned | 1 | 82945 | 1 | 1.466 | 56579.1 |
| 393 | 2025-11-18 08:43:47 | preowned | 2 | 121059 | 9 | 7.966 | 15197.0 |
| 392 | 2025-11-18 05:00:27 | preowned | 3 | 146162 | 156 | 13.843 | 10558.5 |
| 391 | 2025-11-17 10:38:36 | preowned | 1 | 82945 | 1 | 1.610 | 51518.6 |
| 390 | 2025-11-10 10:39:40 | preowned | 3 | 146162 | 156 | 8.330 | 17546.5 |
| 389 | 2025-11-07 16:08:18 | preowned | 2 | 121059 | 9 | 3.470 | 34887.3 |
| 388 | 2025-11-04 09:58:39 | preowned | 1 | 82945 | 1 | 1.346 | 61623.3 |
| 387 | 2025-10-31 05:56:18 | preowned | 1 | 82945 | 1 | 1.436 | 57761.1 |
| 386 | 2025-10-31 00:53:27 | preowned | 1 | 82945 | 1 | 1.483 | 55930.5 |
| 385 | 2025-10-29 20:18:37 | preowned | 3 | 146162 | 156 | 10.126 | 14434.3 |
| 384 | 2025-10-27 18:03:12 | preowned | 3 | 146162 | 156 | 7.643 | 19123.6 |
| 383 | 2025-10-26 01:02:21 | preowned | 1 | 82945 | 1 | 1.516 | 54713.1 |
| 382 | 2025-10-24 15:35:34 | preowned | 1 | 82945 | 1 | 1.393 | 59544.1 |
| 381 | 2025-10-21 12:25:44 | preowned | 2 | 121059 | 9 | 11.546 | 10484.9 |
| 380 | 2025-10-20 18:00:59 | preowned | 3 | 146162 | 156 | 41.456 | 3525.7 |
| 379 | 2025-10-20 02:33:40 | preowned | 3 | 146162 | 156 | 37.706 | 3876.4 |
| 378 | 2025-10-20 02:05:27 | preowned | 2 | 121059 | 9 | 12.046 | 10049.7 |
| 377 | 2025-10-19 10:31:35 | preowned | 2 | 121059 | 9 | 16.346 | 7406.0 |
| 376 | 2025-10-19 07:46:44 | preowned | 1 | 82945 | 1 | 1.466 | 56579.1 |
| 375 | 2025-10-18 18:51:14 | preowned | 2 | 121059 | 9 | 3.986 | 30371.0 |
| 374 | 2025-10-18 14:11:27 | preowned | 3 | 146162 | 156 | 6.736 | 21698.6 |
| 373 | 2025-10-18 09:23:16 | preowned | 3 | 146162 | 156 | 7.920 | 18454.8 |
| 372 | 2025-10-18 05:54:54 | preowned | 3 | 146162 | 156 | 8.000 | 18270.3 |
| 371 | 2025-10-17 18:27:36 | preowned | 1 | 82945 | 1 | 1.420 | 58412.0 |
| 370 | 2025-10-17 11:42:38 | preowned | 1 | 82945 | 1 | 1.360 | 60989.0 |
| 369 | 2025-10-17 10:50:24 | preowned | 1 | 82945 | 1 | 1.343 | 61761.0 |
| 368 | 2025-10-17 05:38:55 | preowned | 3 | 146162 | 156 | 6.796 | 21507.1 |
| 367 | 2025-10-17 05:14:37 | preowned | 1 | 82945 | 1 | 1.343 | 61761.0 |
| 366 | 2025-10-15 22:13:40 | preowned | 2 | 121059 | 9 | 3.466 | 34927.6 |
| 365 | 2025-10-10 17:23:16 | preowned | 2 | 121059 | 9 | 3.423 | 35366.3 |
| 364 | 2025-10-07 00:02:46 | preowned | 2 | 121059 | 9 | 3.470 | 34887.3 |
| 363 | 2025-10-05 20:29:40 | preowned | 2 | 121059 | 9 | 3.626 | 33386.4 |
| 362 | 2025-10-05 10:21:03 | preowned | 1 | 82945 | 1 | 1.343 | 61761.0 |
| 361 | 2025-09-29 06:02:27 | preowned | 1 | 82945 | 1 | 1.360 | 60989.0 |
| 360 | 2025-09-28 20:31:34 | preowned | 3 | 146162 | 156 | 6.610 | 22112.3 |
| 359 | 2025-09-28 16:18:02 | preowned | 2 | 121059 | 9 | 7.326 | 16524.6 |
| 358 | 2025-09-28 03:05:41 | preowned | 3 | 146162 | 156 | 21.483 | 6803.6 |
| 357 | 2025-09-27 00:48:52 | preowned | 1 | 82945 | 1 | 1.356 | 61168.9 |
| 356 | 2025-09-25 01:15:45 | preowned | 1 | 82945 | 1 | 7.780 | 10661.3 |
| 355 | 2025-09-23 15:34:58 | preowned | 1 | 82945 | 1 | 1.423 | 58288.8 |
| 354 | 2025-09-20 18:57:18 | preowned | 1 | 82945 | 1 | 1.546 | 53651.4 |
| 353 | 2025-09-17 18:59:31 | preowned | 3 | 146162 | 156 | 9.673 | 15110.3 |
| 352 | 2025-09-17 17:55:00 | preowned | 3 | 146162 | 156 | 8.093 | 18060.3 |
| 351 | 2025-09-16 15:56:34 | preowned | 3 | 146162 | 156 | 9.016 | 16211.4 |
| 350 | 2025-09-16 15:56:22 | preowned | 3 | 146162 | 156 | 7.923 | 18447.8 |
| 349 | 2025-09-16 10:05:25 | preowned | 2 | 121059 | 9 | 7.126 | 16988.4 |
| 348 | 2025-09-16 08:03:22 | preowned | 1 | 82945 | 1 | 1.500 | 55296.7 |
| 347 | 2025-09-16 07:19:00 | preowned | 2 | 121059 | 9 | 3.796 | 31891.2 |
| 346 | 2025-09-16 05:09:32 | preowned | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 345 | 2025-09-15 19:42:14 | preowned | 2 | 121059 | 9 | 3.830 | 31608.1 |
| 344 | 2025-09-15 10:56:27 | preowned | 1 | 82945 | 1 | 1.296 | 64000.8 |
| 343 | 2025-09-14 22:00:14 | preowned | 2 | 121059 | 9 | 4.000 | 30264.8 |
| 342 | 2025-09-14 17:20:41 | preowned | 3 | 146162 | 156 | 6.516 | 22431.2 |
| 341 | 2025-09-14 17:19:56 | preowned | 3 | 146162 | 156 | 7.673 | 19048.9 |
| 340 | 2025-09-14 00:23:28 | preowned | 2 | 121059 | 9 | 3.983 | 30393.9 |
| 339 | 2025-09-08 10:03:26 | preowned | 3 | 146162 | 156 | 15.236 | 9593.2 |
| 338 | 2025-09-04 10:49:31 | preowned | 1 | 82945 | 1 | 1.313 | 63172.1 |
| 337 | 2025-08-29 13:49:32 | preowned | 2 | 121059 | 9 | 3.343 | 36212.7 |
| 336 | 2025-08-29 06:11:29 | preowned | 1 | 82945 | 1 | 1.376 | 60279.8 |
| 335 | 2025-08-28 20:31:33 | preowned | 3 | 146162 | 156 | 7.750 | 18859.6 |
| 334 | 2025-08-28 16:06:39 | preowned | 2 | 121059 | 9 | 3.513 | 34460.3 |
| 333 | 2025-08-28 15:41:02 | preowned | 2 | 121059 | 9 | 4.000 | 30264.8 |
| 332 | 2025-08-28 02:10:44 | preowned | 3 | 146162 | 156 | 6.703 | 21805.5 |
| 331 | 2025-08-27 00:48:59 | preowned | 1 | 82945 | 1 | 2.326 | 35659.9 |
| 330 | 2025-08-24 22:50:55 | preowned | 2 | 121059 | 9 | 20.063 | 6033.9 |
| 329 | 2025-08-24 14:19:14 | preowned | 1 | 82945 | 1 | 1.423 | 58288.8 |
| 328 | 2025-08-15 13:11:10 | preowned | 1 | 82945 | 1 | 6.983 | 11878.1 |
| 327 | 2025-08-09 17:25:39 | preowned | 3 | 146162 | 156 | 28.706 | 5091.7 |
| 326 | 2025-08-09 05:25:28 | preowned | 1 | 82945 | 1 | 9.876 | 8398.6 |
| 325 | 2025-08-05 12:23:51 | preowned | 2 | 121059 | 9 | 9.233 | 13111.6 |
| 324 | 2025-08-05 10:30:38 | preowned | 1 | 82945 | 1 | 6.283 | 13201.5 |
| 323 | 2025-08-04 07:45:04 | preowned | 1 | 82945 | 1 | 4.843 | 17126.8 |
| 322 | 2025-07-28 01:18:05 | preowned | 3 | 146162 | 156 | 22.033 | 6633.8 |
| 321 | 2025-07-25 09:47:53 | preowned | 3 | 146162 | 156 | 19.283 | 7579.8 |
| 320 | 2025-07-24 21:35:26 | preowned | 1 | 82945 | 1 | 4.500 | 18432.2 |
| 319 | 2025-07-24 17:41:38 | preowned | 3 | 146162 | 156 | 40.733 | 3588.3 |