History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"modelled"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 459 | 2025-10-24 13:35:21 | modelled | 1 | 82945 | 4 | 1.343 | 61761.0 |
| 458 | 2025-09-20 02:38:23 | modelled | 1 | 82945 | 4 | 1.563 | 53067.8 |
| 457 | 2025-08-26 20:35:06 | modelled | 1 | 82945 | 4 | 1.436 | 57761.1 |
| 456 | 2025-08-21 08:45:03 | modelled | 1 | 82945 | 4 | 3.233 | 25655.7 |
| 455 | 2025-08-15 09:48:04 | modelled | 1 | 82945 | 4 | 5.563 | 14910.1 |
| 454 | 2025-08-02 14:29:09 | modelled | 1 | 82945 | 4 | 3.796 | 21850.6 |
| 453 | 2025-07-31 22:43:03 | modelled | 1 | 82945 | 4 | 6.670 | 12435.5 |
| 452 | 2025-07-31 21:33:45 | modelled | 1 | 82945 | 4 | 3.360 | 24686.0 |
| 451 | 2025-07-27 01:54:55 | modelled | 1 | 82945 | 4 | 6.033 | 13748.5 |
| 450 | 2025-07-25 03:28:37 | modelled | 1 | 82945 | 4 | 3.516 | 23590.7 |
| 449 | 2025-07-24 23:55:29 | modelled | 1 | 82945 | 4 | 3.250 | 25521.5 |
| 448 | 2025-07-23 02:27:19 | modelled | 1 | 82945 | 4 | 3.233 | 25655.7 |
| 447 | 2025-07-22 19:29:23 | modelled | 1 | 82945 | 4 | 2.796 | 29665.6 |
| 446 | 2025-07-22 14:37:34 | modelled | 1 | 82945 | 4 | 4.156 | 19957.9 |
| 445 | 2025-07-12 21:28:49 | modelled | 1 | 82945 | 4 | 6.626 | 12518.1 |
| 444 | 2025-07-11 09:50:41 | modelled | 3 | 146162 | 159 | 28.873 | 5062.2 |
| 443 | 2025-07-10 21:15:50 | modelled | 3 | 146162 | 159 | 46.816 | 3122.1 |
| 442 | 2025-07-10 01:57:56 | modelled | 3 | 146162 | 159 | 34.626 | 4221.2 |
| 441 | 2025-07-07 12:32:52 | modelled | 3 | 146162 | 159 | 34.016 | 4296.9 |
| 440 | 2025-07-06 09:52:14 | modelled | 1 | 82945 | 4 | 1.296 | 64000.8 |
| 439 | 2025-06-20 22:31:46 | modelled | 1 | 82945 | 4 | 10.236 | 8103.3 |
| 438 | 2025-06-16 04:47:21 | modelled | 1 | 82945 | 4 | 9.016 | 9199.8 |
| 437 | 2025-06-16 04:33:38 | modelled | 1 | 82945 | 4 | 9.923 | 8358.9 |
| 436 | 2025-06-14 15:46:13 | modelled | 1 | 82945 | 4 | 4.093 | 20265.1 |
| 435 | 2025-06-14 13:30:17 | modelled | 1 | 82945 | 4 | 3.793 | 21867.9 |
| 434 | 2025-06-12 06:41:27 | modelled | 1 | 82945 | 4 | 5.733 | 14468.0 |
| 433 | 2025-06-07 23:10:29 | modelled | 2 | 121059 | 21 | 17.860 | 6778.2 |
| 432 | 2025-06-07 03:00:16 | modelled | 1 | 82945 | 4 | 1.563 | 53067.8 |
| 431 | 2025-05-27 00:38:57 | modelled | 1 | 82945 | 4 | 3.313 | 25036.2 |
| 430 | 2025-05-19 21:25:18 | modelled | 1 | 82945 | 4 | 5.670 | 14628.7 |
| 429 | 2025-05-18 20:54:20 | modelled | 1 | 82945 | 4 | 1.420 | 58412.0 |
| 428 | 2025-05-17 19:54:31 | modelled | 1 | 82945 | 4 | 7.470 | 11103.7 |
| 427 | 2025-05-16 05:02:45 | modelled | 1 | 82945 | 4 | 7.953 | 10429.4 |
| 426 | 2025-05-10 15:55:23 | modelled | 1 | 82945 | 4 | 6.936 | 11958.6 |
| 425 | 2025-05-10 07:14:33 | modelled | 1 | 82945 | 4 | 6.483 | 12794.2 |
| 424 | 2025-05-04 15:17:41 | modelled | 3 | 146162 | 159 | 21.610 | 6763.6 |
| 423 | 2025-05-01 11:39:24 | modelled | 3 | 146162 | 159 | 36.516 | 4002.7 |
| 422 | 2025-04-28 09:05:06 | modelled | 1 | 82945 | 4 | 6.250 | 13271.2 |
| 421 | 2025-04-28 03:48:18 | modelled | 3 | 146162 | 159 | 27.873 | 5243.9 |
| 420 | 2025-04-27 03:49:51 | modelled | 3 | 146162 | 159 | 16.233 | 9004.0 |
| 419 | 2025-04-24 22:14:28 | modelled | 3 | 146162 | 159 | 7.063 | 20694.0 |
| 418 | 2025-04-17 20:35:40 | modelled | 1 | 82945 | 4 | 5.750 | 14425.2 |
| 417 | 2025-04-17 13:37:48 | modelled | 1 | 82945 | 4 | 1.453 | 57085.3 |
| 416 | 2025-04-11 08:20:18 | modelled | 3 | 146162 | 159 | 24.770 | 5900.8 |
| 415 | 2025-04-10 12:52:56 | modelled | 1 | 82945 | 4 | 1.483 | 55930.5 |
| 414 | 2025-04-08 03:49:49 | modelled | 1 | 82945 | 4 | 5.360 | 15474.8 |
| 413 | 2025-03-31 05:26:25 | modelled | 1 | 82945 | 4 | 8.686 | 9549.3 |
| 412 | 2025-03-21 10:37:20 | modelled | 2 | 121059 | 21 | 8.873 | 13643.5 |
| 411 | 2025-03-18 18:04:11 | modelled | 1 | 82945 | 4 | 1.390 | 59672.7 |
| 410 | 2025-03-17 17:15:44 | modelled | 1 | 82945 | 4 | 7.203 | 11515.3 |
| 409 | 2025-03-17 17:14:17 | modelled | 2 | 121059 | 21 | 9.250 | 13087.5 |
| 408 | 2025-03-16 21:30:07 | modelled | 1 | 82945 | 4 | 3.156 | 26281.7 |
| 407 | 2025-03-16 20:42:07 | modelled | 3 | 146162 | 159 | 26.703 | 5473.6 |
| 406 | 2025-03-15 08:35:20 | modelled | 1 | 82945 | 4 | 6.893 | 12033.2 |
| 405 | 2025-03-14 22:37:35 | modelled | 3 | 146162 | 159 | 19.470 | 7507.0 |
| 404 | 2025-03-10 13:03:50 | modelled | 1 | 82945 | 4 | 10.003 | 8292.0 |
| 403 | 2025-03-10 11:01:35 | modelled | 3 | 146162 | 159 | 34.973 | 4179.3 |
| 402 | 2025-03-10 04:30:38 | modelled | 2 | 121059 | 21 | 9.203 | 13154.3 |
| 401 | 2025-03-09 17:38:56 | modelled | 3 | 146162 | 159 | 42.033 | 3477.3 |
| 400 | 2025-03-09 08:11:03 | modelled | 3 | 146162 | 159 | 32.970 | 4433.2 |
| 399 | 2025-03-09 04:18:39 | modelled | 1 | 82945 | 4 | 5.143 | 16127.7 |
| 398 | 2025-03-09 04:17:21 | modelled | 3 | 146162 | 159 | 18.736 | 7801.1 |
| 397 | 2025-03-09 04:17:21 | modelled | 2 | 121059 | 21 | 13.873 | 8726.2 |
| 396 | 2025-02-27 04:19:21 | modelled | 1 | 82945 | 4 | 6.813 | 12174.5 |
| 395 | 2025-02-26 14:52:37 | modelled | 1 | 82945 | 4 | 10.906 | 7605.4 |
| 394 | 2025-02-08 08:02:26 | modelled | 1 | 82945 | 4 | 1.266 | 65517.4 |
| 393 | 2025-02-04 00:42:15 | modelled | 2 | 121059 | 21 | 12.270 | 9866.3 |
| 392 | 2025-02-04 00:41:16 | modelled | 1 | 82945 | 4 | 6.843 | 12121.1 |
| 391 | 2025-02-01 00:41:50 | modelled | 3 | 146162 | 159 | 43.876 | 3331.3 |
| 390 | 2025-02-01 00:25:43 | modelled | 2 | 121059 | 21 | 13.093 | 9246.1 |
| 389 | 2025-02-01 00:21:33 | modelled | 3 | 146162 | 159 | 7.830 | 18666.9 |
| 388 | 2025-01-31 00:20:18 | modelled | 3 | 146162 | 159 | 37.910 | 3855.5 |
| 387 | 2025-01-31 00:20:15 | modelled | 2 | 121059 | 21 | 17.173 | 7049.4 |
| 386 | 2025-01-30 23:04:29 | modelled | 3 | 146162 | 159 | 27.330 | 5348.0 |
| 385 | 2025-01-30 23:04:29 | modelled | 2 | 121059 | 21 | 19.436 | 6228.6 |
| 384 | 2025-01-30 23:04:21 | modelled | 1 | 82945 | 4 | 3.440 | 24111.9 |
| 383 | 2025-01-26 17:54:26 | modelled | 1 | 82945 | 4 | 7.186 | 11542.6 |
| 382 | 2025-01-06 16:35:04 | modelled | 1 | 82945 | 4 | 8.953 | 9264.5 |
| 381 | 2025-01-04 22:28:58 | modelled | 1 | 82945 | 4 | 6.783 | 12228.4 |
| 380 | 2025-01-04 08:59:08 | modelled | 1 | 82945 | 4 | 6.466 | 12827.9 |
| 379 | 2024-12-01 03:58:14 | modelled | 1 | 82945 | 4 | 4.436 | 18698.2 |
| 378 | 2024-11-08 15:29:57 | modelled | 1 | 82945 | 4 | 5.576 | 14875.4 |
| 377 | 2024-11-02 09:03:36 | modelled | 3 | 146162 | 159 | 40.533 | 3606.0 |
| 376 | 2024-10-31 20:41:18 | modelled | 3 | 146162 | 159 | 32.266 | 4529.9 |
| 375 | 2024-10-30 21:23:35 | modelled | 3 | 146162 | 159 | 17.313 | 8442.3 |
| 374 | 2024-10-30 21:23:33 | modelled | 1 | 82945 | 4 | 3.186 | 26034.2 |
| 373 | 2024-10-28 23:35:27 | modelled | 2 | 121059 | 21 | 16.670 | 7262.1 |
| 372 | 2024-10-28 23:35:25 | modelled | 2 | 121059 | 21 | 8.703 | 13910.0 |
| 371 | 2024-10-28 23:35:23 | modelled | 1 | 82945 | 4 | 3.436 | 24140.0 |
| 370 | 2024-10-02 13:14:03 | modelled | 1 | 82945 | 4 | 9.123 | 9091.9 |
| 369 | 2024-09-27 20:31:22 | modelled | 1 | 82945 | 4 | 7.530 | 11015.3 |
| 368 | 2024-09-21 03:50:46 | modelled | 1 | 82945 | 4 | 7.983 | 10390.2 |
| 367 | 2024-09-15 08:39:36 | modelled | 2 | 121059 | 21 | 31.093 | 3893.4 |
| 366 | 2024-09-15 08:39:16 | modelled | 1 | 82945 | 4 | 8.423 | 9847.4 |
| 365 | 2024-09-06 15:03:01 | modelled | 1 | 82945 | 4 | 11.440 | 7250.4 |
| 364 | 2024-09-06 15:02:43 | modelled | 1 | 82945 | 4 | 5.326 | 15573.6 |
| 363 | 2024-09-02 04:26:33 | modelled | 3 | 146162 | 159 | 46.296 | 3157.1 |
| 362 | 2024-09-01 04:06:04 | modelled | 3 | 146162 | 159 | 80.116 | 1824.4 |
| 361 | 2024-08-31 21:00:37 | modelled | 3 | 146162 | 159 | 90.833 | 1609.1 |
| 360 | 2024-08-28 02:30:23 | modelled | 3 | 146162 | 159 | 28.440 | 5139.3 |