History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"fastness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 605 | 2025-12-08 23:56:50 | fastness | 1 | 82945 | 5 | 1.330 | 62364.7 |
| 604 | 2025-12-07 23:16:37 | fastness | 1 | 82945 | 5 | 1.470 | 56425.2 |
| 603 | 2025-11-29 06:43:13 | fastness | 1 | 82945 | 5 | 1.486 | 55817.6 |
| 602 | 2025-11-22 22:10:45 | fastness | 1 | 82945 | 5 | 1.346 | 61623.3 |
| 601 | 2025-11-16 21:55:46 | fastness | 1 | 82945 | 5 | 1.390 | 59672.7 |
| 600 | 2025-11-10 20:38:13 | fastness | 1 | 82945 | 5 | 1.283 | 64649.3 |
| 599 | 2025-11-10 08:25:08 | fastness | 1 | 82945 | 5 | 1.330 | 62364.7 |
| 598 | 2025-11-04 01:23:46 | fastness | 1 | 82945 | 5 | 1.373 | 60411.5 |
| 597 | 2025-10-28 23:14:21 | fastness | 1 | 82945 | 5 | 1.470 | 56425.2 |
| 596 | 2025-10-22 12:46:55 | fastness | 1 | 82945 | 5 | 1.530 | 54212.4 |
| 595 | 2025-10-15 20:48:55 | fastness | 1 | 82945 | 5 | 1.423 | 58288.8 |
| 594 | 2025-10-15 16:25:31 | fastness | 1 | 82945 | 5 | 1.453 | 57085.3 |
| 593 | 2025-10-10 11:54:18 | fastness | 1 | 82945 | 5 | 1.500 | 55296.7 |
| 592 | 2025-10-09 18:38:06 | fastness | 1 | 82945 | 5 | 1.750 | 47397.1 |
| 591 | 2025-10-04 10:32:03 | fastness | 1 | 82945 | 5 | 1.500 | 55296.7 |
| 590 | 2025-09-23 09:09:00 | fastness | 1 | 82945 | 5 | 1.483 | 55930.5 |
| 589 | 2025-09-19 14:49:12 | fastness | 1 | 82945 | 5 | 1.313 | 63172.1 |
| 588 | 2025-09-16 16:50:28 | fastness | 1 | 82945 | 5 | 1.516 | 54713.1 |
| 587 | 2025-09-07 23:30:52 | fastness | 1 | 82945 | 5 | 1.516 | 54713.1 |
| 586 | 2025-09-02 20:43:35 | fastness | 1 | 82945 | 5 | 1.483 | 55930.5 |
| 585 | 2025-08-25 06:12:23 | fastness | 1 | 82945 | 5 | 4.903 | 16917.2 |
| 584 | 2025-08-24 22:37:40 | fastness | 1 | 82945 | 5 | 6.080 | 13642.3 |
| 583 | 2025-08-17 20:29:04 | fastness | 1 | 82945 | 5 | 3.560 | 23299.2 |
| 582 | 2025-08-17 12:12:28 | fastness | 2 | 121059 | 39 | 9.486 | 12761.9 |
| 581 | 2025-08-17 07:24:50 | fastness | 1 | 82945 | 5 | 3.906 | 21235.3 |
| 580 | 2025-08-04 15:43:48 | fastness | 1 | 82945 | 5 | 2.406 | 34474.2 |
| 579 | 2025-08-04 02:45:51 | fastness | 1 | 82945 | 5 | 1.483 | 55930.5 |
| 578 | 2025-08-02 15:23:06 | fastness | 3 | 146162 | 298 | 18.236 | 8015.0 |
| 577 | 2025-08-01 04:04:57 | fastness | 1 | 82945 | 5 | 4.280 | 19379.7 |
| 576 | 2025-07-29 13:50:25 | fastness | 3 | 146162 | 298 | 37.426 | 3905.4 |
| 575 | 2025-07-28 02:05:31 | fastness | 1 | 82945 | 5 | 6.173 | 13436.7 |
| 574 | 2025-07-25 19:52:43 | fastness | 1 | 82945 | 5 | 7.156 | 11591.0 |
| 573 | 2025-07-25 17:24:18 | fastness | 1 | 82945 | 5 | 3.720 | 22297.0 |
| 572 | 2025-07-24 11:07:02 | fastness | 1 | 82945 | 5 | 3.623 | 22894.0 |
| 571 | 2025-07-23 19:55:01 | fastness | 3 | 146162 | 298 | 31.270 | 4674.2 |
| 570 | 2025-07-17 06:59:03 | fastness | 1 | 82945 | 5 | 4.780 | 17352.5 |
| 569 | 2025-07-14 03:57:08 | fastness | 1 | 82945 | 5 | 7.970 | 10407.2 |
| 568 | 2025-07-09 07:37:20 | fastness | 3 | 146162 | 298 | 37.036 | 3946.5 |
| 567 | 2025-07-08 08:21:14 | fastness | 1 | 82945 | 5 | 9.063 | 9152.0 |
| 566 | 2025-07-07 14:29:10 | fastness | 3 | 146162 | 298 | 40.346 | 3622.7 |
| 565 | 2025-07-05 12:15:45 | fastness | 2 | 121059 | 39 | 22.250 | 5440.9 |
| 564 | 2025-07-04 19:55:42 | fastness | 3 | 146162 | 298 | 30.223 | 4836.1 |
| 563 | 2025-07-04 09:16:41 | fastness | 3 | 146162 | 298 | 42.753 | 3418.8 |
| 562 | 2025-07-04 09:16:45 | fastness | 2 | 121059 | 39 | 23.830 | 5080.1 |
| 561 | 2025-06-22 23:51:59 | fastness | 1 | 82945 | 5 | 1.483 | 55930.5 |
| 560 | 2025-06-17 02:41:03 | fastness | 1 | 82945 | 5 | 6.873 | 12068.2 |
| 559 | 2025-06-12 13:18:00 | fastness | 1 | 82945 | 5 | 3.640 | 22787.1 |
| 558 | 2025-06-09 17:38:18 | fastness | 1 | 82945 | 5 | 3.016 | 27501.7 |
| 557 | 2025-06-07 09:21:51 | fastness | 1 | 82945 | 5 | 1.503 | 55186.3 |
| 556 | 2025-05-31 02:43:12 | fastness | 1 | 82945 | 5 | 3.563 | 23279.5 |
| 555 | 2025-05-25 19:04:02 | fastness | 3 | 146162 | 298 | 6.720 | 21750.3 |
| 554 | 2025-05-25 18:07:10 | fastness | 2 | 121059 | 39 | 3.690 | 32807.3 |
| 553 | 2025-05-23 00:13:40 | fastness | 1 | 82945 | 5 | 2.810 | 29517.8 |
| 552 | 2025-05-22 06:52:06 | fastness | 1 | 82945 | 5 | 3.376 | 24569.0 |
| 551 | 2025-05-21 23:05:15 | fastness | 1 | 82945 | 5 | 9.126 | 9088.9 |
| 550 | 2025-05-14 16:32:06 | fastness | 2 | 121059 | 39 | 27.720 | 4367.2 |
| 549 | 2025-05-13 13:46:44 | fastness | 1 | 82945 | 5 | 10.486 | 7910.1 |
| 548 | 2025-05-13 02:36:41 | fastness | 1 | 82945 | 5 | 1.470 | 56425.2 |
| 547 | 2025-05-10 13:21:56 | fastness | 2 | 121059 | 39 | 12.383 | 9776.2 |
| 546 | 2025-05-09 19:32:00 | fastness | 3 | 146162 | 298 | 21.093 | 6929.4 |
| 545 | 2025-05-08 07:34:39 | fastness | 1 | 82945 | 5 | 5.173 | 16034.2 |
| 544 | 2025-05-06 16:09:16 | fastness | 2 | 121059 | 39 | 19.673 | 6153.6 |
| 543 | 2025-05-06 13:40:20 | fastness | 1 | 82945 | 5 | 7.190 | 11536.2 |
| 542 | 2025-05-05 06:40:48 | fastness | 3 | 146162 | 298 | 25.063 | 5831.8 |
| 541 | 2025-05-04 20:03:43 | fastness | 2 | 121059 | 39 | 12.376 | 9781.8 |
| 540 | 2025-05-04 10:15:13 | fastness | 1 | 82945 | 5 | 6.203 | 13371.8 |
| 539 | 2025-05-03 01:36:35 | fastness | 2 | 121059 | 39 | 22.983 | 5267.3 |
| 538 | 2025-05-03 01:27:51 | fastness | 3 | 146162 | 298 | 41.363 | 3533.6 |
| 537 | 2025-05-02 22:49:20 | fastness | 1 | 82945 | 5 | 7.220 | 11488.2 |
| 536 | 2025-04-30 02:27:35 | fastness | 1 | 82945 | 5 | 6.826 | 12151.3 |
| 535 | 2025-04-25 20:26:48 | fastness | 3 | 146162 | 298 | 28.740 | 5085.7 |
| 534 | 2025-04-23 00:07:29 | fastness | 1 | 82945 | 5 | 3.376 | 24569.0 |
| 533 | 2025-04-22 01:05:58 | fastness | 1 | 82945 | 5 | 1.453 | 57085.3 |
| 532 | 2025-04-10 02:32:10 | fastness | 1 | 82945 | 5 | 1.296 | 64000.8 |
| 531 | 2025-04-09 12:33:36 | fastness | 3 | 146162 | 298 | 46.296 | 3157.1 |
| 530 | 2025-04-09 07:22:25 | fastness | 2 | 121059 | 39 | 13.076 | 9258.1 |
| 529 | 2025-04-06 22:01:57 | fastness | 2 | 121059 | 39 | 24.263 | 4989.4 |
| 528 | 2025-04-05 19:39:39 | fastness | 3 | 146162 | 298 | 43.050 | 3395.2 |
| 527 | 2025-04-04 18:02:15 | fastness | 3 | 146162 | 298 | 27.096 | 5394.2 |
| 526 | 2025-04-03 15:30:24 | fastness | 2 | 121059 | 39 | 3.673 | 32959.2 |
| 525 | 2025-04-02 15:25:41 | fastness | 2 | 121059 | 39 | 16.860 | 7180.2 |
| 524 | 2025-04-02 13:41:27 | fastness | 1 | 82945 | 5 | 6.626 | 12518.1 |
| 523 | 2025-04-02 06:50:58 | fastness | 1 | 82945 | 5 | 6.860 | 12091.1 |
| 522 | 2025-04-01 12:01:14 | fastness | 1 | 82945 | 5 | 1.483 | 55930.5 |
| 521 | 2025-03-31 08:08:57 | fastness | 3 | 146162 | 298 | 37.846 | 3862.0 |
| 520 | 2025-03-29 22:25:26 | fastness | 2 | 121059 | 39 | 14.436 | 8385.9 |
| 519 | 2025-03-29 22:09:25 | fastness | 3 | 146162 | 298 | 41.436 | 3527.4 |
| 518 | 2025-03-28 03:06:13 | fastness | 1 | 82945 | 5 | 1.376 | 60279.8 |
| 517 | 2025-03-22 00:08:08 | fastness | 1 | 82945 | 5 | 1.266 | 65517.4 |
| 516 | 2025-03-21 15:57:21 | fastness | 1 | 82945 | 5 | 6.656 | 12461.7 |
| 515 | 2025-03-10 16:24:08 | fastness | 1 | 82945 | 5 | 9.033 | 9182.4 |
| 514 | 2025-02-26 22:21:06 | fastness | 2 | 121059 | 39 | 14.843 | 8156.0 |
| 513 | 2025-02-24 15:25:22 | fastness | 2 | 121059 | 39 | 15.780 | 7671.7 |
| 512 | 2025-02-24 15:25:13 | fastness | 1 | 82945 | 5 | 3.653 | 22706.0 |
| 511 | 2025-02-23 20:50:21 | fastness | 1 | 82945 | 5 | 7.500 | 11059.3 |
| 510 | 2025-02-23 04:24:15 | fastness | 3 | 146162 | 298 | 52.940 | 2760.9 |
| 509 | 2025-02-19 08:25:57 | fastness | 3 | 146162 | 298 | 7.580 | 19282.6 |
| 508 | 2025-02-12 17:17:16 | fastness | 1 | 82945 | 5 | 5.610 | 14785.2 |
| 507 | 2025-01-29 23:11:49 | fastness | 3 | 146162 | 298 | 36.423 | 4012.9 |
| 506 | 2025-01-29 20:00:31 | fastness | 3 | 146162 | 298 | 36.453 | 4009.6 |